Machine Learning @ CUED

Consistent Validation for Predictive Methods in Spatial Settings

David Burt, MIT.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Friday 23 February 2024, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Monumo: Reinventing Electric Motors

Dr Chris Doran - AI Research Fellow and Head of 3D at Monumo and Fellow of Sidney Sussex College.

FW26, William Gates Building.

Monday 19 February 2024, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

TechWolf: Revolutionizing HR Tech: Ethical AI Integration in the Age of Generative Models

Jens-Joris Decorte, lead AI Scientist at TechWolf.

Online.

Monday 12 February 2024, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Ab Initio: Processing High Volume IoT Data

James Wyper.

FW26, William Gates Building.

Monday 22 January 2024, 13:05-13:55

Machine Learning @ CUED

Modern Bayesian Experimental Design

Dr Tom Rainforth, OxCSML Group in the Department of Statistics at the University of Oxford.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Tuesday 28 November 2023, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Vaticle: Type theory as the unifying foundation for modern databases

Haikal Pribadi (CS MPhil, Cambridge), CEO/CTO at Vaticle and Christoph Dorn (CS DPhil, Oxford), Head of Research at Vaticle.

FW26, William Gates Building.

Monday 27 November 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Neo4j: GenAI with LLMs and Knowledge Graphs

Andreas Kollegger of Neo4j, Inc. (@akollegger).

FW26, William Gates Building.

Monday 20 November 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Goldman Sachs - Quantitative Finance and AI

Matteo Pozzi, Associate on the Applied AI team at Goldman Sachs.

FW26, William Gates Building.

Monday 13 November 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Jane Street: Why Ocaml?

Pedro Flemming, Software Engineer at Jane Street .

FW26, William Gates Building.

Monday 30 October 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Bloomberg: Software Design Dilemmas: Choices We Make In a System With Over Two Million Hits A Day

Zineb Slam, Bloomberg Placement Fall 2017 & Full-Time 2018, Mobile Shared Services Team, Co-Lead of the Bloomberg Women in Technology community in London.

FW26, William Gates Building.

Monday 23 October 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

GSA Capital: Technology in a quant trading firm: how innovation helps stay competitive in today's markets

Mihai Enache.

FW26, William Gates Building.

Monday 16 October 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Roku: The Challenges of Motion Detection and Object Detection on Edge Cameras in the Home

Luke Johnson-Davies.

FW26, William Gates Building.

Monday 09 October 2023, 13:05-13:55

Machine Learning @ CUED

Visit and talk by Jay McClelland: "Some thoughts on the differences between human and machine intelligence"

Jay McClelland, Stanford University .

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 14 September 2023, 15:00-17:00

Machine Learning @ CUED

Compositional mathematics and automatic gradient descent

Jeremy Bernstein, MIT.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Friday 14 July 2023, 11:00-12:00

Machine Learning @ CUED

Convergence bounds for the Random Walk Metropolis algorithm - Perspectives from Isoperimetry

Sam Power, University of Bristol.

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 11 May 2023, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

TechWolf: From text to skills: an NLP journey

Severine Verlinden, NLP Engineer.

Online.

Tuesday 21 February 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Ab Initio: Data Science in Industry: Trials and Tribulations

Dr Owen Astley (Cambridge University), Jonathan Sunderland, Dr Richard Hall (Sheffield, Cambridge University), Ben Roche (Durham University).

FW11, William Gates Building.

Tuesday 14 February 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Next DLP: Cyber Security Talk - Well that's expensively weird - A deep dive into cloud incident response

Tom Cope, CSO from NextDLP.

FW11, William Gates Building.

Tuesday 07 February 2023, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Huawei: Pangloss+: a novel Markov chain adaptive prefetcher

Philippos Papaphilippou, Senior CPU Architect at Huawei UK R&D.

FW11, William Gates Building.

Tuesday 31 January 2023, 13:05-13:55

Machine Learning @ CUED

Calls to F the Algorithm: Lessons from the 2020 Exam Debacle

Roger Taylor, former Chair of Ofqual.

Cambridge University Engineering Department, Lecture Room 4.

Monday 30 January 2023, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Entrust: Leighton-Micali Signatures

Richard Kettlewell, Senior Principle Software Architect.

FW11, William Gates Building.

Tuesday 24 January 2023, 13:05-13:55

Machine Learning @ CUED

Scalable simulation and inference in non-Gaussian stochastic PDEs

David Duvenaud (University of Toronto).

Cambridge University Engineering Department, CBL Seminar room BE4-38..

Thursday 15 December 2022, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Nethermind: Zero-knowledge proofs. From theory to practice in less than 40 years

Michal Zajac - Head of Research at Nethermind.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 29 November 2022, 13:05-13:55

Machine Learning @ CUED

Measuring Alignment Between Perceptual Systems: An Analysis Through The Lens of Shared Invariances

Vedant Nanda, MPI-SWS + University of Maryland .

Hybrid meeting, CBL seminar room, and Zoom https://talks.cam.ac.uk/talk/edit/192845.

Thursday 24 November 2022, 11:30-12:30

Technical Talks - Department of Computer Science and Technology

Utterberry: Data and Data Sustainability

Heba Bevan - Utterberry CEO.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 22 November 2022, 13:05-13:55

Machine Learning @ CUED

Gaussian processes, spectral analysis kernels and optimal transport

Felipe Tobar, Universidad de Chile.

CBL Seminar Room.

Tuesday 22 November 2022, 11:00-12:00

Machine Learning @ CUED

Deep Reinforcement Learning for Multi-Agent Interaction

Stefano Albrecht, Edinburgh.

Hybrid, CBL Seminar room, Department of Engineering, and Zoom https://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

Thursday 17 November 2022, 11:00-12:30

Technical Talks - Department of Computer Science and Technology

Gearset: Lessons from life as a junior software engineer

Julian Wreford.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 15 November 2022, 13:05-13:55

Machine Learning @ CUED

Presenting Hawk-Eye’s Skeletrack: Our machine learning approach to building a real time skeletal tracking system for sports, and how we're using it to shape the future of fan engagement

Lachan Thorpe, Hawk-Eye Innovations.

Lecture Theatre 6 (LT6), Department of Engineering.

Monday 14 November 2022, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Avos: Looking back 15 years: the technological changes leading to the Zoom Cat Lawyer

Sam Jansen.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 08 November 2022, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Monumo: Engineering Simulation and Design: New Opportunities for Computer Science

Chris Doran.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 01 November 2022, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Jane Street: One log to rule them all – How to keep state straight in distributed systems

Matt Else.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 25 October 2022, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

GSA Capital: Staying Competitive

Julian Roth.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 18 October 2022, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Reply: Introduction to Post-Quantum Cyber Security

Anuj Doshi and Vasu Prasad.

Room FW26, Computer Laboratory, William Gates Building.

Tuesday 11 October 2022, 13:05-13:55

Machine Learning @ CUED

Noise-Aware Differentially Private Synthetic Data

Antti Honkela, University of Helsinki.

Hybrid, CBL Seminar room, Department of Engineering, and Zoom https://eng-cam.zoom.us/j/89002493651?pwd=B_2gKl7va_h0CQ9yoMPSbn2ifYLGi4.1.

Tuesday 28 June 2022, 11:00-12:00

Machine Learning @ CUED

Estimating RSV seasonality from pandemic disruptions: a modelling study

Fabienne Krauer, The London School of Hygiene & Tropical Medicine.

Hybrid, CBL Seminar room, and Zoom https://eng-cam.zoom.us/j/84968458381?pwd=TWM5ZkF2bjdBM09jaVlJZHRUTFlFUT09.

Thursday 16 June 2022, 11:00-12:00

Machine Learning @ CUED

Beyond Conformal Prediction: Distribution-Free Uncertainty Quantification for Complex Machine Learning Tasks

Anastasios Angelopoulos, PhD student at UC Berkeley.

Hybrid meeting, CBL seminar room, and Zoom https://eng-cam.zoom.us/j/84829493214?pwd=HI3JJJ8nrt6O8AELEzbXvT8ZoBj51t.1.

Friday 13 May 2022, 11:30-12:30

Machine Learning @ CUED

Graph neural network approach for decentralized multi-robot coordination

University of Cambridge.

Hybrid meeting, CBL seminar room, and Zoom https://eng-cam.zoom.us/j/87988930234?pwd=eHRGTHFtUE9UL0pJOWNtdDF2VDN2UT09.

Thursday 21 April 2022, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

TNG Technology Consulting: Microservices for Smarter Home Appliances

Dr. Tobias Tennstädt, Senior Consultant and Niklas Eicker, Software Consultant.

Online.

Tuesday 08 March 2022, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Poly AI: Architecting Human-Sounding Voice Assistants

Razvan Kusztos .

Lecture Theatre 1, Computer Laboratory, William Gates Building..

Wednesday 02 March 2022, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Huawei: Rethinking memory subsystem design

Artemiy Margaritov.

Lecture Theatre 1, Computer Laboratory, William Gates Building.

Tuesday 22 February 2022, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Ab Initio: Traversing the abstraction layers: an introduction to graph programming

Jonathan Sunderland .

Online.

Wednesday 01 December 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Bloomberg: Apache Cassandra: The Good, The Bad, and The Ugly

Paulo Motta, Apache Cassandra PMC member & committer.

Online.

Tuesday 23 November 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

TNG Technology Consulting: Where Am I and What's That? - SLAM

Daniel Pape.

Online.

Monday 15 November 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Wintermute: DeFi Presentation

Haashir Ashraf and Santi D’Ornellas.

Online.

Wednesday 10 November 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Cisco: Saving the world, one handset at a time

Simon Chatterjee.

Online.

Wednesday 03 November 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Jane Street: OCaml and Python; Getting the Best of Both Worlds

Laurent Mazare, Quantitative Researcher, Jane Street.

Online.

Tuesday 26 October 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

BigPay: Event Based Architecture at BigPay

Alex Wiles.

Online.

Tuesday 19 October 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

IMC Trading: Trading, A Story Of Reddit And Nanoseconds

Pierre Bashshour.

Online.

Monday 18 October 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

TechWolf: JobBERT: Understanding Job Titles through Skills

Jens-Joris Decorte.

Online.

Tuesday 12 October 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

GSA Capital: Staying Competitive

Joris Peeters, PhD in Applied Physics.

Online.

Monday 11 October 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Cadence Design Systems: Machine Learning in EDA

Andrew Hall.

Online.

Tuesday 16 March 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

HP: Click Happens: Using Hypervisors for threat containment

Ian Pratt, Global Head of Security, HP Inc.

Online.

Monday 08 March 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Entrust: Is Quantum Computing really a threat to Security Systems?

Dr Pali Surdhar, Product Security Director, Entrust.

Online.

Tuesday 02 March 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Matrix/Element: Turning Matrix into a Peer-to-peer mesh network for decentralised communication with BLE

Matthew Hodgson, Project lead, Matrix.org.

Online.

Monday 22 February 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

BigPay: Building a South-East Asian Neobank

Richard Watts.

Online.

Monday 15 February 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

TechWolf: Deep learning for Career Prediction

Josef Valvoda.

Online.

Monday 08 February 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Amazon UK: Tech Talk

Carl Summers, Michael Dimond, Gokul Ramanan Subramanian.

Online.

Tuesday 02 February 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Linaro/96 Boards: Innovation in Autonomous Driving powered by Open Source Heterogeneous Computing Platform

Yang Zhang - Director, 96Boards, Linaro. Co-Founder and Board of Director, Autoware Foundation.

Online.

Tuesday 26 January 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Optiver: From Instant to Eternity: Challenges in Data Engineering

Zuotian Tatum - Optiver Engineer.

Online.

Monday 25 January 2021, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

PA Consulting: Applications of AR/VR

Mauro Aguiar and Czar Balangue.

Virtual.

Monday 30 November 2020, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Bloomberg: Trading Programs - How the finance industry has become so complex that today's products are similar to programs

Joel Bjornson.

Virtual.

Wednesday 25 November 2020, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Mediatek: 5G – Life beyond the Smartphone

Abdellatif Salah.

Virtual.

Thursday 19 November 2020, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Rebellion Defense: Agent-based modeling (ABM) and Mesa

Jackie Kazil .

Virtual.

Tuesday 10 November 2020, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Palantir: P101 + Responding to COVID-19

Speaker to be confirmed.

Virtual.

Tuesday 03 November 2020, 17:00-18:00

Technical Talks - Department of Computer Science and Technology

Cisco: Have your Robots Call My Robots

Simon Chatterjee.

Virtual.

Tuesday 03 November 2020, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

Gearset: Continuous Delivery in Practice

Ben Roberts (Software Engineer) and Luke Drury (Head of Engineering).

Virtual.

Thursday 22 October 2020, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

IMC Trading: High Frequency Trading: how to (not) become Warren Buffet

Pierre Bashshour.

Virtual.

Monday 19 October 2020, 13:05-13:55

Technical Talks - Department of Computer Science and Technology

TNG Technology Consulting: Deepfakes 2.0 - How Neural Networks Are Changing Our World

Thomas Endres, Martin Förtsch and Jonas Mayer.

Virtual.

Thursday 15 October 2020, 13:05-13:55

Machine Learning @ CUED

Efficient and Structured Uncertainty: Challenges and Opportunities

Andrey Malinin, Yandex Research.

Virtual (see abstract for Zoom link).

Wednesday 22 July 2020, 11:00-12:00

Machine Learning @ CUED

Game Playing Meets Game Theory: Strategic Learning from Simulated Play

wellman@umich.edu.

Engineering Department, CBL Room BE-438..

Thursday 05 March 2020, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Green Custard Ltd: Innovating at pace in IoT

Food provided

Zoltan Molnar and Gavin Dolling .

FW26, Computer Laboratory.

Wednesday 19 February 2020, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Amazon Alexa Tech Talk

Food provided

Paolo Gianrossi, Software Development Manager (Amazon Alexa team, Cambridge).

FW26, Computer Laboratory.

Monday 03 February 2020, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Cambridge Design Partnership - Think Small: Embedded Software FTW!

Food provided

Jason Mashinchi, Graduate Software Engineer and Tom Vajzovic, Consultant Software Engineer.

FW26, Computer Laboratory.

Monday 27 January 2020, 13:00-14:00

Machine Learning @ CUED

Robust Deep Learning Under Distribution Shift

Zack Lipton, CMU.

Engineering Department, CBL Room BE-438..

Friday 24 January 2020, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Optiver: Machine learning in trading: Let’s build a quantitative trading strategy

Food provided

Dennis Fleurbaaij.

FW26, Computer Laboratory.

Wednesday 22 January 2020, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Diving into Decentralised communication with Matrix.org

Food provided

Matthew Hodgson, Project Lead.

FW26, Computer Laboratory.

Monday 20 January 2020, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Mathworks: MATLAB and NVIDIA Docker: A Complete AI Solution, Where You Need It, in an Instant

Food provided

Dr. Jos Martin, Senior Engineering Manager - Parallel Computing.

FW26, Computer Laboratory.

Monday 25 November 2019, 13:00-14:30

Technical Talks - Department of Computer Science and Technology

Roku: Engineering Smart TVs for fun and profit

Food provided

Tim Granger.

FW26, Computer Laboratory.

Wednesday 20 November 2019, 13:00-14:30

Technical Talks - Department of Computer Science and Technology

Recruitment Fair

Recruitment Fair.

The Street, Computer Laboratory.

Friday 15 November 2019, 11:30-16:00

Technical Talks - Department of Computer Science and Technology

Recruitment Fair

Recruitment Fair.

The Street, Computer Laboratory.

Thursday 14 November 2019, 11:30-16:00

Technical Talks - Department of Computer Science and Technology

Yelp: Datastore Architecture - Orchestrating Cassandra with Kubernetes: Challenges and Opportunities

Food Provided

Raghavendra D Prabhu.

FW26, Computer Laboratory.

Wednesday 13 November 2019, 13:00-14:30

Machine Learning @ CUED

Models and inference for temporal Gaussian processes

William Wilkinson, Aalto University, Finland.

Engineering Department, CBL Room BE-438..

Tuesday 12 November 2019, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Netcraft: Credit card skimming for fun and profit

Food provided

Graham Edgecombe.

FW26, Computer Laboratory.

Monday 11 November 2019, 13:00-15:00

Technical Talks - Department of Computer Science and Technology

Cisco: How to break the Internet

Food Provided

Simon Chatterjee.

FW11, Computer Laboratory.

Friday 08 November 2019, 13:00-14:30

Technical Talks - Department of Computer Science and Technology

Building For Scale: How and Why Stripe Built Sorbet, a Type Checker for Ruby

Food provided

Aaron Broder.

FW26, Computer Laboratory.

Wednesday 06 November 2019, 13:00-14:30

Technical Talks - Department of Computer Science and Technology

Google: The Life of a Software Engineer

Google.

FW26, Computer Laboratory.

Thursday 31 October 2019, 13:00-14:30

Technical Talks - Department of Computer Science and Technology

My Secure Bank - Morgan Stanley

Food provided

Morgan Stanley.

FW26, Computer Laboratory.

Wednesday 30 October 2019, 13:00-14:30

Machine Learning @ CUED

Reinforcement Learning at Huawei: Robustness, Safety, and Efficiency

Haitham Ammar, Huawei.

Engineering Department, CBL Room BE-438..

Wednesday 30 October 2019, 10:00-11:00

Technical Talks - Department of Computer Science and Technology

Palantir - Privacy and Civil Liberties (PCL) & Machine Learning

Food provided

John Grant, Lead of Palantir’s Privacy and Civil Liberties Team.

FW26, Computer Laboratory.

Monday 28 October 2019, 13:00-14:30

Machine Learning @ CUED

Constructing temporal latent spaces: Representation learning for clustering and imputation on time series

Vincent Fortuin, ETH Zurich.

Engineering Department, CBL Room BE-438..

Monday 28 October 2019, 11:00-12:00

Machine Learning @ CUED

Explaining Neural Networks: Post-hoc and Natural Language Explanations

Oana Camburu, University of Oxford.

Engineering Department, CBL Room BE-438..

Friday 25 October 2019, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Read Less, Learn More: Extracting Key News Themes

Food provided

Joshua Bambrick, Bloomberg.

FW26, Computer Laboratory.

Tuesday 22 October 2019, 13:15-14:30

Technical Talks - Department of Computer Science and Technology

JPMorgan Technology Showcase

Food provided

JP Morgan.

FW26, Computer Laboratory.

Monday 21 October 2019, 13:00-15:00

Technical Talks - Department of Computer Science and Technology

Interactive workshop with Goldman Sachs

Food provided

Speaker to be confirmed.

FW26, Computer Laboratory.

Wednesday 16 October 2019, 13:05-15:00

Technical Talks - Department of Computer Science and Technology

Accelerating Machine Learning on Arm

Food provided

: Isabella Gottardi, Software Engineer, ARM.

FW26, Computer Laboratory.

Tuesday 15 October 2019, 13:15-14:15

Technical Talks - Department of Computer Science and Technology

Dealing with the 3 V's: Bigger, Faster, Weirder

Food provided. Please sign up online at www.gsacapital.com/careers so we can gauge numbers for catering.

Dr Joris Peeters, GSA Capital.

FW26, Computer Laboratory.

Monday 14 October 2019, 13:05-14:00

Machine Learning @ CUED

Learning-Algorithms from Bayesian Principles

Emti Khan, RIKEN center for Advanced Intelligence Project.

Engineering Department, CBL Room BE-438..

Tuesday 24 September 2019, 10:00-11:00

Machine Learning @ CUED

Rotation Invariant Householder Parameterization for Bayesian PCA

Rajbir Nirwan, Goethe University, Frankfurt.

Engineering Department, CBL Room BE-438..

Wednesday 04 September 2019, 11:00-12:00

Machine Learning @ CUED

Two Approximate Sampling Methods for Bayesian Deep Learning

Wesley Maddox (New York University).

Engineering Department, CBL Room BE-438..

Friday 23 August 2019, 11:00-12:00

Machine Learning @ CUED

Semi-Unsupervised Learning with Deep Generative Models / Disentangling Improves VAEs' Robustness to Adversarial Attacks

Matthew Willetts and Alexander Camuto, University of Oxford / Alan Turing Institute.

Engineering Department, CBL Room BE-438..

Wednesday 17 July 2019, 14:00-15:00

Machine Learning @ CUED

Efficiency and Transferability of Neural Networks

Amos Storkey, School of Informatics, University of Edinburgh.

Engineering Department, CBL Room BE-438..

Friday 12 July 2019, 11:00-12:00

Machine Learning @ CUED

Learning via Data Compression: Bayesian Coresets and Sparse Variational Inference

Trevor Campbell, University of British Columbia.

Engineering Department, CBL Room BE-438..

Wednesday 26 June 2019, 11:00-12:00

Machine Learning @ CUED

Deep Neural Networks: A Nonparametric Bayesian Approach with Local Competition

Konstantinos P. Panousis.

Engineering Department, CBL Room BE-438..

Thursday 20 June 2019, 11:00-12:00

Machine Learning @ CUED

Information Consumption on Social Media: Efficiency, Trust, and Divisiveness

Reza Babaei.

Engineering Department, CBL Room BE-438..

Tuesday 11 June 2019, 15:00-15:30

Machine Learning @ CUED

Why Do We Need New Hardware & Software for Machine Intelligence?

Victoria Rege, Scott Griffiths.

Engineering Department, CBL Room BE-438..

Friday 17 May 2019, 11:00-12:00

Machine Learning @ CUED

Nonparametric Generative Modeling via Optimal Transport and Diffusions with Provable Guarantees

Umut Şimşekli, Télécom Paristech.

Engineering Department, CBL Room BE-438..

Tuesday 07 May 2019, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Disruptive Innovation at Ocado

Food provided

Dr David Sharp, Head of Ocado Technology 10x.

FW26, Computer Laboratory.

Monday 29 April 2019, 13:15-14:15

Machine Learning @ CUED

NeVAE: A Deep Generative Model for Molecular Graphs

Abir De, Max Planck Institute for Software Systems.

Engineering Department, CBL Room BE-438..

Monday 08 April 2019, 11:00-12:00

Machine Learning @ CUED

Global model explainability via aggregation

Umang Bhatt, CMU.

Engineering Department, CBL Room BE-438..

Thursday 04 April 2019, 16:00-16:45

Machine Learning @ CUED

Robust machine learning for causal inference in health care

David Sontag, MIT.

Engineering Department, CBL Room BE-438..

Wednesday 27 March 2019, 11:00-12:00

Computational Neuroscience

The K-FAC method for neural network optimization

James Martens, Google Deep Mind.

Cambridge University Engineering Department, CBL, BE4-38 (http://learning.eng.cam.ac.uk/Public/Directions).

Thursday 14 March 2019, 14:00-15:00

Technical Talks - Department of Computer Science and Technology

Machine Learning for the benefit of Engineering

Food provided

Dr Stephan Waldert, Arm.

FW11, Computer Laboratory.

Thursday 21 February 2019, 13:15-14:15

Machine Learning Reading Group @ CUED

Generative models for few-shot prediction tasks

Marta Garnelo (Google DeepMind).

Engineering Department, CBL Room BE-438.

Wednesday 20 February 2019, 13:45-15:15

Machine Learning @ CUED

Online Meta-Learning

Massimiliano Pontil, University College London.

Engineering Department, CBL Room BE-438..

Thursday 14 February 2019, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Security Engineering @ nCipher

Food provided

Pali Surdhar, nCipher.

FW26, Computer Laboratory.

Wednesday 06 February 2019, 13:15-14:15

Technical Talks - Department of Computer Science and Technology

Digital Technology & Personalised Medicine

Food provided

Louis Swain and Oliver Abbey, TPP.

FW26, Computer Laboratory.

Monday 04 February 2019, 13:15-14:15

Computational Neuroscience

High-dimensional dynamics of generalization error in neural networks: implications for experience replay

Dr. Andrew Saxe, University of Oxford.

Cambridge University Engineering Department, CBL, BE4-38 (http://learning.eng.cam.ac.uk/Public/Directions).

Friday 01 February 2019, 12:30-13:30

Machine Learning @ CUED

Gauge Equivariant Convolutional Networks on Manifolds

Taco Cohen.

Engineering Department, CBL Room BE-438..

Thursday 31 January 2019, 13:30-14:30

Technical Talks - Department of Computer Science and Technology

IMC Tech Talk

Food provided

Pierre Bashshour, Lex van der Stoep & Henry Mattinson, IMC.

FW26, Computer Laboratory.

Monday 28 January 2019, 13:15-14:15

Machine Learning @ CUED

Observation and Intervention Incentives in Causal Influence Diagrams: Towards an Understanding of Powerful Machine Learning Systems

Tom Everitt (DeepMind).

Engineering Department, LR5 (in front of library, 1st floor).

Friday 25 January 2019, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Designing Electronics for low-latency Trading Systems

Food provided

Robin Bruce, current Head of the Infrastructure & Data team and former FPGA Systems Tech Lead, Optiver .

FW26, Computer Laboratory.

Monday 21 January 2019, 13:15-14:15

Machine Learning @ CUED

Fairness for Sequential Decision Making Algorithms

Hoda Heidari.

Engineering Department, CBL Room BE-438..

Thursday 17 January 2019, 11:00-12:00

Machine Learning @ CUED

Gaussian processes for inferring latent functions in complex data models

Martin Tegner.

Engineering Department, CBL Room BE-438..

Tuesday 18 December 2018, 10:30-11:00

Technical Talks - Department of Computer Science and Technology

What can the Rust Programming Language do for Embedded Systems development?

Jonathan Pallant, Cambridge Consultants.

FW26, Computer Laboratory.

Monday 26 November 2018, 13:30-14:30

Technical Talks - Department of Computer Science and Technology

How search uses Machine Learning

Food provided

Fabrizio Silvestri, Facebook.

FW26, Computer Laboratory.

Monday 19 November 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

Computer Laboratory Recruitment Fair

Speaker to be confirmed.

The Street, Computer Laboratory.

Friday 16 November 2018, 11:30-16:00

Technical Talks - Department of Computer Science and Technology

Computer Laboratory Recruitment Fair

Speaker to be confirmed.

The Street, Computer Laboratory.

Thursday 15 November 2018, 11:30-16:00

Technical Talks - Department of Computer Science and Technology

Embracing the Volatility of AWS Spot Fleet

Food provided

Matthew Mead-Briggs, Yelp.

FW26, Computer Laboratory.

Wednesday 14 November 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

How to Break the Internet

Food and drinks provided

Simon Chatterjee, Ensoft Ltd .

FW11, Computer Laboratory.

Friday 09 November 2018, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

The King ecosystem beyond games; a deep dive into solutions that scale

Food provided

Richard Palmer, Principal Engineer, King.

FW26, Computer Laboratory.

Wednesday 07 November 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

Declarative Software Design in Python

Lunch provided

Elmer Landaverde, Bloomberg Team Leader of Engineering Core Workflows .

FW26, Computer Laboratory.

Monday 05 November 2018, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

Goldman Sachs: Banking with Bots – Machine Learning and Natural Language Processing

Food provided

Niccolo Lamanna, Goldman Sachs.

FW11, Computer Laboratory.

Friday 02 November 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

Transforming Retail with Machine Learning

Food provided

Martin Gee, Principal Head of Software Engineering, Argos.

FW26, Computer Laboratory.

Wednesday 31 October 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

Creating a Real Time data & ML pipeline for Smart Cities, Mobility & Infrastructure

Lunch provided

Pankaj Daga, Alchera Technologies.

FW26, Computer Laboratory.

Tuesday 30 October 2018, 13:15-14:15

Technical Talks - Department of Computer Science and Technology

Preparing for a life that’s not just code

Food provided

Samantha Strauss and Grace Rowley, RealVNC.

FW11, Computer Laboratory.

Friday 26 October 2018, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

How to Build an Exchange

Food provided

Gabor Szarka, JaneStreet.

FW26, Computer Laboratory.

Tuesday 23 October 2018, 13:15-14:30

Technical Talks - Department of Computer Science and Technology

Systemic Design (or Building Toys) in Games

Food provided

George Prosser and James Callin, Studio Gobo.

FW26, Computer Laboratory.

Monday 22 October 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

5G & ARTIFICIAL INTELLIGENCE - THE PERFECT MATCH ?

Food provided

Dr Cyril Valadon, MediaTek.

FW26, Computer Laboratory.

Wednesday 17 October 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

JP Morgan Technology Showcase

Food provided

JP Morgan technologists.

FW26, Computer Laboratory.

Tuesday 16 October 2018, 15:00-17:00

Technical Talks - Department of Computer Science and Technology

All Things Data

Food provided

Joris Peeters, GSA Capital.

FW26, Computer Laboratory.

Monday 15 October 2018, 13:05-14:15

Technical Talks - Department of Computer Science and Technology

HackerRank workshop

Lunch provided

Alistair McMaster and Jing Wu, Goldman Sachs.

FW11, Computer Laboratory.

Friday 12 October 2018, 13:05-14:30

Technical Talks - Department of Computer Science and Technology

Bloomberg Lab Hangout & Cup Cake Challenge

Speaker to be confirmed.

Student Hangout area, 1st Floor, Computer Laboratory.

Friday 12 October 2018, 10:00-16:00

Machine Learning @ CUED

Causal Inference for Treatment Effects: A Theory and Associated Learning Algorithms

Mihaela van der Schaar .

Engineering Department, CBL Room BE-438..

Thursday 11 October 2018, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Artificial Intelligence in Healthcare

Food provided

Ed Salkeld, TPP.

FW26, Computer Laboratory.

Wednesday 10 October 2018, 13:05-14:15

Technical Talks - Department of Computer Science and Technology

Facebook – Crush Your Coding Workshop

Lunch provided

Facebook.

FW26, Computer Laboratory.

Tuesday 09 October 2018, 13:15-14:30

Technical Talks - Department of Computer Science and Technology

Hashing

Lunch provided

Dietmar Kuhl, Bloomberg.

FW26, Computer Laboratory.

Monday 08 October 2018, 13:05-14:15

Technical Talks - Department of Computer Science and Technology

Dev-Ops. what does it really mean?

Food provided

Cliff McCollum (Software Development Manager), Amazon.

FW26, Computer Laboratory.

Wednesday 03 October 2018, 13:05-14:15

Machine Learning @ CUED

Interpretability - the myth, questions, and some answers

Been Kim, Google Brain.

Engineering Department, Board Room on the 2nd Floor.

Monday 10 September 2018, 11:00-12:00

Machine Learning @ CUED

Constraint-based causal Discovery from NOnstationary/heterogeneous Data (CD-NOD)

Biwei Huang, CMU.

dyson teaching room (TBC).

Friday 24 August 2018, 11:00-12:00

Machine Learning @ CUED

Fast yet Simple Natural-Gradient Variational Inference in Complex Models

Emtiyaz Khan, team leader (equivalent to Full Professor) at the RIKEN center for Advanced Intelligence Project (AIP) in Tokyo.

Engineering Department, CBL Room BE-438..

Monday 16 July 2018, 11:00-12:00

Machine Learning @ CUED

Variance in Policy Gradient methods and Learning Sequential Latent Variable Models

George Tucker, Google Brain.

Engineering Department, CBL Room BE-438..

Wednesday 04 July 2018, 11:00-12:00

Machine Learning @ CUED

Structured deep models: Deep learning on graphs and beyond

Thomas Kipf (Uni of Amsterdam).

Engineering Department, CBL Room BE-438..

Thursday 21 June 2018, 11:00-12:00

Machine Learning @ CUED

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Prof. Michael Kearns (University of Pennsylvania).

Cambridge University Engineering Department, Lecture Room 4.

Thursday 14 June 2018, 11:00-12:00

Machine Learning @ CUED

Semi-Generative Modelling: Domain Adaptation with Cause and Effect Features

Julius von Kugelgen.

Engineering Department, CBL Room BE-438..

Wednesday 23 May 2018, 11:30-12:00

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

Ana Stoica, Columbia University.

Engineering Department, CBL Room BE-438..

Wednesday 09 May 2018, 11:00-12:00

Machine Learning @ CUED

A Bayesian Perspective on Generalization and SGD

Dr. Samuel L. Smith, Google Brain.

Cambridge University Engineering Department, Lecture Room 11.

Tuesday 17 April 2018, 11:00-12:00

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

Ana Stoica, Columbia University.

Engineering Department, CBL Room BE-438..

Sunday 15 April 2018, 11:00-12:00

Machine Learning @ CUED

Structure in tensor-variate data: a trivial byproduct of simpler phenomena?

John P. Cunningham.

CBL Seminar Room.

Tuesday 06 March 2018, 11:00-12:00

Machine Learning @ CUED

Lipschitz Global Optimization

Professor Yaroslav D Sergeyev, Universita della Calabria.

CBL Seminar Room.

Friday 16 February 2018, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Writing Low Latency Code

Maciej Gajewski, Optiver.

FW26, Computer Laboratory.

Monday 22 January 2018, 13:05-14:00

Machine Learning @ CUED

Variational inference for some models with Polya-Gamma latent variables and Gaussian process priors

Manfred Opper, TU Berlin.

Engineering Department, CBL Room BE-438..

Wednesday 13 December 2017, 13:30-14:30

Machine Learning @ CUED

Bayesian Generative Adversarial Networks

Professor Andrew Wilson, Cornell University.

CBL Seminar Room.

Wednesday 13 December 2017, 11:00-12:00

Machine Learning @ CUED

AI for Inclusive Finance

Alan Qi and Le Song.

CBL Seminar Room.

Friday 01 December 2017, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

JSI - JVM SecDb Integration

Jonathan Perry, Managing Director in Engineering, Goldman Sachs.

FW26, Computer Laboratory.

Monday 27 November 2017, 13:05-14:00

Machine Learning @ CUED

Backprop through the Void: Optimizing Control Variates for Black-Box Gradient Estimation.

Geoff Roeder (University of Toronto).

CBL Seminar Room.

Monday 27 November 2017, 11:00-12:00

Machine Learning @ CUED

Learning to Learn without Gradient Descent by Gradient Descent

Yutian Chen, DeepMind.

CBL Seminar Room.

Friday 24 November 2017, 11:00-12:00

Machine Learning @ CUED

Towards true end-to-end learning & optimization

Dr Frank Hutter.

CBL Seminar Room.

Friday 17 November 2017, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Non-stop real-time data delivery at Yelp

Federico Giraud, Yelp.

FW26, Computer Laboratory.

Wednesday 15 November 2017, 13:05-14:00

Technical Talks - Department of Computer Science and Technology

Safe at any speed

Sebastian Funk, Jane Street.

FW26, Computer Laboratory.

Monday 13 November 2017, 13:05-14:00

Technical Talks - Department of Computer Science and Technology

Saving the world one handset at a time: mobile phones and building the Internet

Simon Chatterjee, Ensoft Ltd.

FW11, Computer Laboratory.

Friday 10 November 2017, 13:05-14:00

Technical Talks - Department of Computer Science and Technology

The King reigns and the data governs

Nima Hamedani-Raja, King.

FW26, Computer Laboratory.

Monday 06 November 2017, 13:05-14:00

Machine Learning @ CUED

Targeted Disclosure to Support Auditing and Accountability for Automated Decision-making

Joshua Kroll.

CBL Seminar Room.

Wednesday 01 November 2017, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

SpatialOS: a distributed operating system for building large simulated worlds

Matt Lewis, Improbable.

FW26, Computer Laboratory.

Monday 30 October 2017, 13:05-14:00

Technical Talks - Department of Computer Science and Technology

Real-time Ocean Simulation and Rendering for Console Game

Alastair Toft and James Callin, Studio Gobo.

FW26, Computer Laboratory.

Wednesday 25 October 2017, 13:05-14:15

Machine Learning @ CUED

Nonlinear ICA using temporal structure: a principled framework for unsupervised deep learning

Prof. Aapo Hyvarinen.

CBL Room BE-438, Department of Engineering.

Thursday 19 October 2017, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Quicker Sorting

Dietmar Kuhl, Bloomberg.

FW26, Computer Laboratory.

Wednesday 18 October 2017, 13:05-14:15

Technical Talks - Department of Computer Science and Technology

GRAKN.AI: The hyper-relational database for knowledge-oriented systems

Haikal Pribadi, Founder and CEO of GRAKN.AI.

FW11, Computer Laboratory.

Monday 16 October 2017, 13:05-14:00

Machine Learning @ CUED

Transfer Learning for NLP

Sebastian Ruder, INSIGHT Centre.

JDB Seminar Room, CUED.

Friday 13 October 2017, 14:00-15:00

Technical Talks - Department of Computer Science and Technology

Break into a Hacker’s Mind

Morgan Stanley.

FW11, Computer Laboratory.

Friday 13 October 2017, 13:05-14:00

Technical Talks - Department of Computer Science and Technology

Bloomberg Engineering: Terminal Showcase & Cup Cake Challenge

Bloomberg engineers.

Student Hangout area, 1st Floor, Computer Laboratory.

Wednesday 11 October 2017, 10:00-16:00

Technical Talks - Department of Computer Science and Technology

How Machine Learning and Auction Theory Power Facebook Advertising

Ovidiu Popa, Facebook.

FW26, Computer Laboratory.

Monday 09 October 2017, 13:05-14:15

Machine Learning @ CUED

A Bayesian Treatment for Uncertainty -- and its application in health care

Dr Cheng Zhang.

CBL Seminar Room.

Tuesday 26 September 2017, 15:00-16:00

Machine Learning @ CUED

Unbiased Estimation of the Eigenvalues of Large Implicit Matrices

Professor Ryan Adams, Princeton.

CBL Room BE-438, Department of Engineering.

Thursday 14 September 2017, 11:00-12:00

Machine Learning @ CUED

The Grammar Variational Autoencoder & Counterfactual Fairness

Dr Matt Kusner.

CBL Room BE-438, Department of Engineering.

Tuesday 12 September 2017, 11:00-12:00

Machine Learning @ CUED

Accelerating computation of SVM and DNN by binary approximation

Hironobu Fujiyoshi (Chubu University) .

CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Towards User-Friendly Image Inpainting: Learning-to-Rank based Image Quality Assessment for Image Inpainting

Mariko Isogawa (NTT Media Intelligence Laboratories) .

CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Deep learning for autonomous driving

Takayoshi Yamashita (Chubu University) .

CBL Room BE-438, Department of Engineering.

Friday 08 September 2017, 11:00-12:00

Machine Learning @ CUED

Understanding Black-box Predictions via Influence Functions

Pang Wei Koh, Stanford University.

CBL Room BE-438, Department of Engineering.

Thursday 20 July 2017, 14:00-15:00

Machine Learning @ CUED

A simple neural network module for relational reasoning

David Barrett, DeepMind.

CBL Room BE-438, Department of Engineering.

Thursday 06 July 2017, 11:00-12:00

Machine Learning @ CUED

Future technology: machine learning using memristors networks

Francesco Caravelli (LANL).

CBL Room BE-438, Department of Engineering.

Monday 03 July 2017, 11:00-12:00

Machine Learning @ CUED

Future technology: machine learning using memristors networks

Francesco Caravelli (LANL).

CBL Room BE-438, Department of Engineering.

Monday 03 July 2017, 11:00-12:00

Machine Learning @ CUED

On Different Distances Between Distributions and Generative Adversarial Networks

Martin Arjovsky.

JDB Seminar Room, CUED.

Thursday 25 May 2017, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

How can you trust formally verified software?

Alastair Reid, ARM.

FW26, Computer Laboratory.

Tuesday 02 May 2017, 13:15-14:15

Technical Talks - Department of Computer Science and Technology

Finding Signals in Twitter with ML/NLP at Bloomberg

Minjie Xu - Bloomberg Software Engineer, Social Media Analytics.

LT1, Computer Laboratory.

Tuesday 25 April 2017, 13:00-14:00

Machine Learning Study Group

Deep Learning Book - Meeting 9 - Representation Learning

Group Discussion.

CBL Room BE-438.

Tuesday 11 April 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 8 - Autoencoders

Group Discussion.

CBL Room BE-438.

Tuesday 04 April 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 7 - Neural Turing Machines & Conditional Random Fields as RNNs

Group Discussion.

CBL Room BE-438.

Tuesday 21 March 2017, 13:30-15:00

Information Engineering Division seminar list

Bayesian Optimization for Probabilistic Programs

Tom Rainforth, University of Oxford.

Cambridge University Engineering Department, CBL Seminar room BE4-38.

Wednesday 15 March 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 6 - Recurrent Neural Networks

Group Discussion.

CBL Room BE-438.

Tuesday 14 March 2017, 13:30-15:00

Machine Learning @ CUED

Differentially Private Bayesian Learning

Dr Antti Honkela, University of Helsinki.

CBL Room BE-438, Department of Engineering.

Tuesday 14 March 2017, 11:00-12:00

Computational and Biological Learning Seminar Series

Control, inference and learning

Prof. dr. H.J. (Bert) Kappen (Radboud University Nijmegen).

Engineering Department, CBL Room 438.

Friday 10 March 2017, 11:00-12:00

Machine Learning @ CUED

Differential Privacy Tutorial

Alex Matthews and John Bradshaw, University of Cambridge.

CBL Room BE-438, Department of Engineering.

Thursday 09 March 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 5 - ResNets and DenseNets

Group Discussion.

CBL Room BE-438.

Thursday 02 March 2017, 13:30-15:00

Technical Talks - Department of Computer Science and Technology

Fast Models : How dynamic translation fits into ARM's story

: LLoyd Reed - Staff Software Engineer & Team Lead, ARM.

FW26, Computer Laboratory.

Monday 27 February 2017, 13:05-14:05

Machine Learning @ CUED

Cooperative Inverse Reinforcement Learning

Dylan Hadfield-Menell, UC Berkeley.

CBL Room BE-438, Department of Engineering.

Thursday 23 February 2017, 15:00-16:00

Machine Learning Study Group

Deep Learning Book - Meeting 4 - Convolutional Networks

Group Discussion.

CBL Room BE-438.

Thursday 23 February 2017, 13:30-15:00

Technical Talks - Department of Computer Science and Technology

SpatialOS: a distributed operating system for building large simulated worlds.

Matt Lewis, Improbable.

FW26, Computer Laboratory.

Monday 20 February 2017, 13:05-14:05

Machine Learning Study Group

Deep Learning Book - Meeting 3 - Optimization

Group Discussion.

CBL Room BE-438.

Tuesday 14 February 2017, 13:30-15:00

Machine Learning @ CUED

Bayesian optimisation in many dimensions with bespoke probabilistic programs

Valentin Dalibart.

CBL Room BE-438, Department of Engineering.

Friday 10 February 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 2 - Regularization

Group Discussion.

CBL Room BE-438.

Tuesday 07 February 2017, 13:30-15:00

Technical Talks - Department of Computer Science and Technology

Machine Learning demystified: ask the right questions

Bianca Furtuna, Micosoft.

FW26, Computer Laboratory.

Tuesday 07 February 2017, 13:15-14:15

Machine Learning Study Group

Deep Learning Book - Meeting 1 - Deep Feedforward NNs

Group Discussion.

CBL Room BE-438.

Tuesday 31 January 2017, 13:30-15:00

Machine Learning @ CUED

Variational Bayes In Private Settings

Mijung Park, University of Amsterdam.

CBL Room BE-438, Department of Engineering.

Wednesday 25 January 2017, 15:00-16:00

Machine Learning @ CUED

Julia: Introduction and new developments

Dr Simon Byrne (Julia Computing).

CBL Room BE-438, Department of Engineering.

Tuesday 24 January 2017, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Making your Applications Smarter Through Machine Learning APIs

Lilian Kasem, Microsoft UK.

FW26, Computer Laboratory.

Monday 23 January 2017, 13:05-14:05

Machine Learning @ CUED

Bayesian optimality and frequentist extended admissibility are equivalent in saturated models

Daniel Roy (University of Toronto).

CBL Room BE-438, Department of Engineering.

Thursday 15 December 2016, 11:00-12:00

Machine Learning @ CUED

Hierarchical Multi-Agent Reinforcement Learning through Communicative Actions for Human-Robot Collaboration

Elena Corina Grigore (Yale University).

CBL Room BE-438, Department of Engineering.

Wednesday 14 December 2016, 15:00-16:00

Machine Learning @ CUED

Variational autoencoders with latent graphical models

Prof David Duvenaud (University of Toronto).

CBL Room BE-438, Department of Engineering.

Tuesday 13 December 2016, 11:00-12:00

Machine Learning @ CUED

Learning with limited supervision

Stefano Ermon, Stanford.

CBL Room BE-438.

Thursday 01 December 2016, 11:00-12:00

Machine Learning @ CUED

A tale of P-matrices and TripleSpinners - the unreasonable effectiveness of structured models in nonlinear embeddings

Krzysztof Choromanski, Google NY.

CBL Room BE-438.

Thursday 24 November 2016, 11:00-12:00

Machine Learning @ CUED

Rejection Sampling Variational Inference

Francisco J. R. Ruiz (Columbia University & University of Cambridge).

CBL Room BE-438.

Tuesday 22 November 2016, 11:30-12:30

Technical Talks - Department of Computer Science and Technology

Super Sized Mobile Apps - Getting the Foundations Right

Mark Olleson, Bloomberg.

FW26, Computer Laboratory.

Monday 21 November 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

Recruitment fair

Speaker to be confirmed.

The Street, Computer Laboratory.

Friday 18 November 2016, 11:30-16:00

Technical Talks - Department of Computer Science and Technology

Recruitment fair

Speaker to be confirmed.

The Street, Computer Laboratory.

Thursday 17 November 2016, 11:30-16:00

Machine Learning @ CUED

Probabilistic Numerical Computation: A New Concept?

Prof. Mark Girolami (University of Warwick).

CBL Room BE-438, Department of Engineering.

Thursday 17 November 2016, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Taskerman: A Cluster Task Manager

Yelp team.

FW11, Computer Laboratory.

Wednesday 16 November 2016, 13:15-14:30

Technical Talks - Department of Computer Science and Technology

Palantir and PCL (Privacy & Civil Liberties)

William Morland, Civil Liberties Engineer.

FW26, Computer Laboratory.

Monday 14 November 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

How to Break the Internet

Simon Chatterjee, Ensoft Ltd.

FW11, Computer Laboratory.

Friday 11 November 2016, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

"Improving your CV” Careers Workshop

Susan Gatell, Cambridge University Careers Service.

LT1, Computer Laboratory.

Thursday 10 November 2016, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Building a Secure Bank

Daniel Chatfield, Security Engineer, Monzo.

FW26, Computer Laboratory.

Wednesday 09 November 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

Amazon Alexa: building AI at scale

David Hardcastle, Senior Manager, Software Development, Amazon.

FW26, Computer Laboratory.

Tuesday 08 November 2016, 13:15-14:15

Machine Learning @ CUED

A talk in two parts: (1) AI Neuroscience: How much do deep neural networks understand about the images they classify? (2) Robots that can adapt like animals.

Note venue: James Dyson Building

Prof. Jeff Clune (U Wyoming).

Dyson Meeting Room on the Ground Floor.

Monday 07 November 2016, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Pen and Paper Programming: How to write code in an interview

The team from Morgan Stanley.

FW11, Computer Laboratory.

Friday 04 November 2016, 13:15-14:30

Machine Learning @ CUED

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models

Tomoharu Iwata - Learning and Intelligent Systems Research Group of NTT Communication Science Laboratories, Kyoto, Japan.

CBL Room BE-438.

Thursday 03 November 2016, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

G-Research Coding Challenge 2016

Speaker to be confirmed.

FW26, Computer Laboratory.

Wednesday 02 November 2016, 13:05-15:30

Machine Learning @ CUED

Robots learning on the move: deep learning from lots of demonstration

Dushyant Rao, Oxford Robotics Institute.

CBL Room BE-438.

Wednesday 02 November 2016, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

State machine replication and the modern exchange

Sebastian Funk, JaneStreet.

FW26, Computer Laboratory.

Tuesday 01 November 2016, 13:15-14:05

Technical Talks - Department of Computer Science and Technology

Trading Programs - How the Finance industry has become so complex that today's products are similar to programs

Joel Bjornson, Bloomberg.

FW26, Computer Laboratory.

Monday 31 October 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

What can you do with data at the speed of 10x million events per second

Please register at: https://www.eventbrite.com/e/microsoft-tech-talk-university-of-cambridge-tickets-28514095427

Irina Frumkin, a Principal Software Engineering Lead, Microsoft.

FW11, Computer Laboratory.

Friday 28 October 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

Title to be confirmed

Sign up at Fb.me/Cambridgetechtalk16

Daniel Bernhardt, Facebook.

LT1, Computer Laboratory.

Tuesday 25 October 2016, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Scala: How to sneak Haskell design patterns into industry code

Please RSVP to recruitment@gsacapital.com as we need to gauge numbers for catering purposes

Will Sonnex, GSA Capital.

FW26, Computer Laboratory.

Monday 24 October 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

What's the big deal about Big Data?

Morgan Stanley’s Data Strategy group.

FW11, Computer Laboratory.

Friday 21 October 2016, 13:15-14:30

Machine Learning @ CUED

Probabilistic modeling for position and orientation estimation using inertial sensors

Manon Kok, Department of Electrical Engineering, Linköping University.

CBL Room BE-438.

Thursday 20 October 2016, 10:00-11:00

Technical Talks - Department of Computer Science and Technology

Netcraft wokshop

Robert Duncan, Netcraft.

FW26, Computer Laboratory.

Wednesday 19 October 2016, 13:05-15:30

Technical Talks - Department of Computer Science and Technology

Data processing @ Google & Interviews 101

Lewis Hemens, Google.

LT1, Computer Laboratory.

Tuesday 18 October 2016, 13:00-14:30

Technical Talks - Department of Computer Science and Technology

5G - The Revolution

Cyril Valadon , MediaTek.

FW26, Computer Laboratory.

Monday 17 October 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

Bloomberg's On-Campus! Terminal Showcase & Cup Cake Challenge!

Speaker to be confirmed.

Student Hangout area, Computer Laboratory.

Friday 14 October 2016, 10:00-15:00

Technical Talks - Department of Computer Science and Technology

An introduction to games programming

Alastair Toft and Hale Harding, Studio Gobo.

FW26, Computer Laboratory.

Wednesday 12 October 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

Security Through Maturity

Scott Alexander, JPMorgan mobile team.

FW26, Computer Laboratory.

Monday 10 October 2016, 13:05-14:05

Machine Learning @ CUED

Moment matching for latent variable models: from ICA to LDA and CCA

Professor Francis Bach (INRIA, ENS).

CBL Room BE-438.

Thursday 06 October 2016, 11:00-12:00

Machine Learning @ CUED

Multiresolution Matrix Factorization

Prof Risi Kondor (U Chicago).

CBL Room BE-438.

Tuesday 13 September 2016, 11:00-12:00

Machine Learning @ CUED

Dynamic Models for Health Data

Professor Katherine A Heller (Duke University).

CBL Room BE-438.

Monday 12 September 2016, 11:00-12:00

Machine Learning @ CUED

Learning with Memory Embeddings

Professor Volker Tresp (Ludwig Maximilian University of Munich).

Engineering Department, CBL Room BE-438.

Thursday 08 September 2016, 11:00-12:00

Machine Learning @ CUED

Data Driven Discrete Time Modeling of Continuous Time Nonlinear Systems: Problems, Challenges, Success Stories

Johan Schoukens, Vrije Universiteit Brussel.

CBL Room BE-438.

Friday 02 September 2016, 11:00-12:00

Machine Learning @ CUED

Inference as Learning

George Papamakarios (University of Edinburgh).

CBL Room BE-438.

Monday 08 August 2016, 11:00-12:00

Machine Learning @ CUED

Interpretable and interactive machine learning

Dr Been Kim.

CBL Room BE-438.

Friday 29 July 2016, 11:00-12:00

Machine Learning @ CUED

Discriminative Embeddings of Latent Variable Models for Structured Data

Prof Le Song (Georgia Tech).

Engineering Department, CBL Room BE-438.

Monday 25 July 2016, 11:00-12:00

Machine Learning @ CUED

Structured Dynamic Graphical Models & Scaling Multivariate Time Series Methodology

Professor Mike West (Statistical Science, Duke University).

James Dyson Building Meeting Room on the Ground Floor.

Thursday 21 July 2016, 11:00-12:00

Machine Learning @ CUED

Scaling and Generalizing Approximate Bayesian Inference

Prof. David Blei (Columbia University).

James Dyson Building Meeting Room on the Ground Floor.

Tuesday 12 July 2016, 11:00-12:00

arg58's list

A modular architecture for Unicode text compression

Adam Gleave (University of Cambridge).

Cambridge University Engineering Department, CBL Seminar room BE4-38.

Tuesday 14 June 2016, 15:00-15:15

Machine Learning @ CUED

Learning Task Relations in Multi-Task Learning

Via Skype

Yu Zhang (Hong Kong University of Science and Technology).

Engineering Department, CBL Room BE-438.

Tuesday 14 June 2016, 11:00-12:00

Machine Learning @ CUED

Distributed stochastic optimization for deep learning

Via Skype

Sixin Zhang (NYU).

Engineering Department, CBL Room BE-438.

Tuesday 14 June 2016, 10:00-11:00

Machine Learning @ CUED

Modeling the Dynamics of Online Learning Activity

Isabel Valera .

Engineering Department, CBL Room BE-438.

Thursday 09 June 2016, 11:00-12:00

Machine Learning @ CUED

Developments in Exact Inference in Graphical Models

Stephen Pasteris (UCL).

Engineering Department, CBL Room BE-438.

Tuesday 07 June 2016, 10:30-11:30

Machine Learning @ CUED

Approximation strategies for structure learning in Bayesian networks

Note: via Skype!

Teppo Niinimäki (Helsinki).

Engineering Department, CBL Room BE-438.

Tuesday 07 June 2016, 09:30-10:30

Machine Learning @ CUED

Automated Reasoning and AI for Large Formal Mathematics

Josef Urban.

William Gates Building - FW26.

Friday 03 June 2016, 14:00-15:00

Machine Learning @ CUED

Variational inference for scalable Gaussian process approximations

Alexander Matthews (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 11:30-12:30

Machine Learning @ CUED

Novel MCMC and SMC schemes for Poisson-Kingman Bayesian Nonparametric mixture models

Maria Lomeli (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 10:30-11:30

Machine Learning @ CUED

Turing: Rejuvenating Probabilistic Programming in Julia

Hong Ge (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 02 June 2016, 09:30-10:30

Machine Learning @ CUED

Towards Weaker Supervision and Simpler Pipelines in Speech Recognition

Gabriel Synnaeve.

Engineering Department, CBL Room BE-438.

Friday 27 May 2016, 11:00-12:00

Machine Learning @ CUED

Sum-Product Networks for Probabilistic Modeling

Robert Peharz (TU Graz).

Engineering Department, CBL Room BE-438.

Tuesday 24 May 2016, 14:00-15:00

Technical Talks - Department of Computer Science and Technology

A Career In Ethical Hacking

Alex King, Director, LD Capital Services..

Seminar Room 3, Hauser Forum.

Friday 13 May 2016, 13:05-14:05

Machine Learning @ CUED

MLE-Struct: Bethe Learning of Graphical Models

Kui Tang, Columbia University.

Engineering Department, CBL Room BE-438.

Friday 13 May 2016, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Teaching The World To Code: How A Cambridge Grad Earned £1m Teaching Online

Rob Percival, Codestars.

FW26, Computer Laboratory.

Tuesday 03 May 2016, 13:15-14:05

Technical Talks - Department of Computer Science and Technology

Data-driven Retail

Dhruv Kumar,The Hut Group.

FW26, Computer Laboratory.

Wednesday 27 April 2016, 13:05-14:05

Technical Talks - Department of Computer Science and Technology

Bitcoin – Design Demystified

Alexey Akhunov, JPMorgan.

FW26, Computer Laboratory.

Monday 25 April 2016, 13:05-14:15

Technical Talks - Department of Computer Science and Technology

Online Machine Learning Methods - Streams of Financially Important News.

Miles Osbourne, Bloomberg.

FW11, Computer Laboratory.

Friday 22 April 2016, 13:00-14:15

Machine Learning @ CUED

Inference and Learning in the Anglican Probabilistic Programming System

Jan-Willem van de Meent (Oxford).

Engineering Department, CBL Room BE-438.

Tuesday 05 April 2016, 11:00-12:00

Machine Learning @ CUED

Unsupervised Risk Estimation with only Structural Assumptions

Jacob Steinhardt (Stanford University).

Engineering Department, CBL Room BE-438.

Wednesday 16 March 2016, 14:00-15:00

Machine Learning @ CUED

The geometry of uncertainty

Fabio Cuzzolin, Head of AI and vision, Oxford Brookes University.

Engineering Department, Boardroom on the 2nd floor (past canteen on the left).

Wednesday 09 March 2016, 14:00-15:00

Technical Talks - Department of Computer Science and Technology

Personal Program Analysis

Dr Julian Tibble, VP Applications Engineering at Semmle Ltd.

FW26, Computer Laboratory.

Tuesday 08 March 2016, 13:15-14:15

Technical Talks - Department of Computer Science and Technology

Why Big Data & Games go hand in hand

Chris Smith, Jagex.

FW26, Computer Laboratory.

Tuesday 23 February 2016, 13:35-14:05

Technical Talks - Department of Computer Science and Technology

The Real Villains in Online Games

Philip Bielby, Jagex.

FW26, Computer Laboratory.

Tuesday 23 February 2016, 13:05-13:35

Machine Learning @ CUED

A more Automated Statistician

David Janz, Oxford University.

Engineering Department, CBL Room BE-438.

Friday 19 February 2016, 11:30-12:00

Technical Talks - Department of Computer Science and Technology

Kotlin: What it takes to make a programming language

Andrey Breslav, Lead Language Designer and Project Manager, JetBrains.

FW26, Computer Laboratory.

Wednesday 17 February 2016, 13:05-14:10

Technical Talks - Department of Computer Science and Technology

Real Processors for Real-time

Antony John Penton, Senior Principal Engineer, CPU Group, ARM Holdings, Cambridge, UK.

FW26, Computer Laboratory.

Monday 15 February 2016, 13:05-14:10

Technical Talks - Department of Computer Science and Technology

Simulating Worlds: Technical Challenges of Improbable SpatialOS

Rob Whitehead, Improbable.

FW26, Computer Laboratory.

Monday 01 February 2016, 13:05-14:10

Technical Talks - Department of Computer Science and Technology

Why do I need to keep recharging my smart phone?

Simon George-Kelso, MediaTek.

FW26, Computer Laboratory.

Monday 25 January 2016, 13:05-14:00

Technical Talks - Department of Computer Science and Technology

Shaping Energy with Technology

Oliver Burstall CTO, Origami Energy.

FW26, Computer Laboratory.

Wednesday 20 January 2016, 13:05-14:00

Technical Talks - Department of Computer Science and Technology

Building a Trading System (How we really do it…)

Johan Ditmar, Head of Investment Operations Technology, Winton Capital.

FW11, Computer Laboratory.

Monday 18 January 2016, 13:05-14:10

Machine Learning @ CUED

General Reinforcement Learning

Jan Leike (Australian National University).

Engineering Department, CBL Room BE-438.

Wednesday 16 December 2015, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Making sense of 20 billion data points a day

Food provided so please register for the talk so that we can gauge numbers.

Vince Darley – Chief Scientist, King.

FW26, Computer Laboratory.

Wednesday 02 December 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Cybersecurity framework: a deep dive

Harry Biddle – Quality Engineer at Palantir, Mathematician turned Software Engineer.

FW26, Computer Laboratory.

Monday 30 November 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

"Coding your way out of a paper bag"

Frances Buontempo, Bloomberg.

FW26, Computer Laboratory.

Wednesday 25 November 2015, 13:00-14:15

Technical Talks - Department of Computer Science and Technology

What do you do with 10 million unlabelled images?

Alexandre Dalyac, Tractable.

FW26, Computer Laboratory.

Monday 23 November 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Computer Science Collides With Reality

Tom Rathborne (senior developer at Booking.com) and Steffen Mueller (Senior Manager Technology Infrastructure and Developer/Admin at Comprehensive Perl Archive Network).

FW11, Computer Laboratory.

Friday 20 November 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Supporters Club recruitment fair

Speaker to be confirmed.

The Street, Computer Laboratory.

Thursday 19 November 2015, 11:30-16:00

Technical Talks - Department of Computer Science and Technology

Challenges to Operating a Service Oriented Architecture

Tomas Doran, Yelp.

FW11, Computer Laboratory.

Wednesday 18 November 2015, 13:00-14:30

Technical Talks - Department of Computer Science and Technology

Saving the world one handset at a time: mobile phones and building the Internet

Simon Chatterjee, Ensoft.

FW11, Computer Laboratory.

Friday 13 November 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Code DNA

Dimitrios Staikos, Bloomberg.

FW26, Computer Laboratory.

Wednesday 11 November 2015, 13:00-14:15

Machine Learning @ CUED

Inference of a partially observed kinetic Ising model

Dr Yasser Roudi (Kavli Inst, Trondheim & Inst for Advanced Study, Princeton).

Engineering Department, CBL Room BE-438.

Wednesday 11 November 2015, 12:00-13:00

Technical Talks - Department of Computer Science and Technology

Stealing App Credentials for Fun & Profit

Register for the event at: https://docs.google.com/forms/d/1ttyw9JDMqa2tRF4lFKOH3ppiigreMISi2sWXl1Nut88/viewform

Robert Duncan, Netcraft.

FW26, Computer Laboratory.

Monday 09 November 2015, 13:00-16:00

Technical Talks - Department of Computer Science and Technology

Demystifying a Technology career in Finance Q&A

Panel of Cambridge Alumni in a variety of roles and seniorities in Technology at Morgan Stanley.

FW11, Computer Laboratory.

Friday 06 November 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Big Data & Microsoft Office: How Office uses Big Data to understand Usage, Errors and Reliability

Cancelled

Shemyla Anwar, Microsoft.

FW26, Computer Laboratory.

Wednesday 04 November 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Adding Security Activities to Agile

Food provided so please register for the talk so that we can gauge numbers.

Clara Juanes-Vallejo and Pali Surdhar, Thales.

FW26, Computer Laboratory.

Monday 26 October 2015, 13:30-14:00

Technical Talks - Department of Computer Science and Technology

nShield HSMs

Food provided so please register for the talk so that we can gauge numbers.

Richard Kettlewell, Thales.

FW26, Computer Laboratory.

Monday 26 October 2015, 13:00-13:30

Technical Talks - Department of Computer Science and Technology

Break into a hacker’s mind

Aldwin Saugere (Vice President, IT Security Architecture, Morgan Stanley).

FW11, Computer Laboratory.

Friday 23 October 2015, 13:00-14:00

Technical Talks - Department of Computer Science and Technology

Building location-based services

Salvatore Scellato, Senior Software Engineer, Google.

LT2, Computer Laboratory.

Wednesday 21 October 2015, 13:15-14:15

Machine Learning @ CUED

Meta-Bayesian Analysis

Prof. Daniel Roy (University of Toronto).

Engineering Department, CBL Room BE-438.

Thursday 15 October 2015, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Learning to Spell: Spelling corrections for Facebook Search

Daniel Bernhardt, Facebook.

LT2, Computer Laboratory.

Wednesday 14 October 2015, 13:00-14:00

Machine Learning @ CUED

Efficient Inference and Learning with Intractable Posteriors? Yes, Please.

Diederik P. Kingma (University of Amsterdam).

Engineering Department, CBL Room BE-438.

Wednesday 14 October 2015, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

How the studio environment and processes foster innovation

Huw Bowles and Hale Harding, Research Scientists & programmers at Studio Gobo.

FW26, Computer Laboratory.

Tuesday 13 October 2015, 13:15-14:30

Machine Learning @ CUED

Efficient multi-task Gaussian process models for genome-wide association studies

Francesco Paolo Casale, European Bioinformatics Institute.

Engineering Department, CBL Room BE-438.

Friday 25 September 2015, 11:00-12:00

Machine Learning @ CUED

Harmonic Exponential Families and Group-Equivariant Convolution Networks

Taco Cohen (University of Amsterdam).

Engineering Department, CBL Room BE-438.

Wednesday 16 September 2015, 11:00-12:00

Machine Learning @ CUED

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

Koh Takeuchi (NTT Communication Science Laboratories).

Engineering Department, CBL Room BE-438.

Tuesday 15 September 2015, 10:30-11:30

Machine Learning @ CUED

A-Star Sampling Review

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438.

Monday 14 September 2015, 12:00-13:00

Machine Learning @ CUED

Convex Factorization Machines

Mathieu Blondel (NTT Communication Science Laboratorie).

Engineering Department, CBL Room BE-438.

Monday 14 September 2015, 11:00-12:00

Machine Learning @ CUED

Belief and Truth in Hypothesised Behaviours

Stefano V. Albrecht - School of Informatics at The University of Edinburgh.

Engineering Department, CBL Room BE-438.

Thursday 10 September 2015, 11:00-12:00

Machine Learning @ CUED

Training and Understanding Deep Neural Networks for Robotics, Design, and Perception

Jason Yosinski (Cornell).

Engineering Department, CBL Room BE-438.

Wednesday 09 September 2015, 11:00-12:00

Machine Learning @ CUED

Information-Theoretic Bounded Rationality

Pedro A. Ortega (University of Pennsylvania).

Engineering Department, CBL Room BE-438.

Monday 07 September 2015, 11:00-12:00

Machine Learning @ CUED

The limits of MAP inference by MWSS on perfect graphs

Dr Adrian Weller (MLG, University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 27 August 2015, 15:00-15:30

Machine Learning @ CUED

Scalable Gaussian Processes for Scientific Discovery

Dr Andrew Wilson, Carnegie Mellon University.

Engineering Department, CBL Room BE-438.

Wednesday 29 July 2015, 11:00-12:00

Machine Learning @ CUED

MCMC for non-linear state space models using ensembles of latent sequences

(via Skype!)

Alex Shestopaloff (University of Toronto).

Engineering Department, CBL Room BE-438.

Monday 27 July 2015, 15:00-16:00

Machine Learning @ CUED

Gradient-based hyperparameter optimization through reversible learning

Dr David Duvenaud (Harvard).

Engineering Department, CBL Room BE-438.

Monday 20 July 2015, 11:00-12:00

Machine Learning @ CUED

Rich Component Analysis

James Zou (Microsoft Research New England).

Engineering Department, CBL Room BE-438.

Friday 17 July 2015, 11:00-12:00

Machine Learning @ CUED

A new MCMC hybrid scheme for Poisson-Kingman Bayesian Nonparametric mixture models

Maria Lomeli-Garcia, UCL.

Engineering Department, CBL Room BE-438.

Thursday 16 July 2015, 11:00-12:00

Machine Learning @ CUED

Modeling Confounding by Half-Sibling Regression

SHORT TALK (20 minutes)

Prof Bernhard Schölkopf (MPI Tuebingen).

Engineering Department, CBL Room BE-438.

Friday 03 July 2015, 12:30-13:00

Machine Learning @ CUED

Extreme Classification: A New Paradigm for Ranking & Recommendation

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Thursday 02 July 2015, 11:00-12:00

Machine Learning @ CUED

Convex and non-convex worlds in machine learning

Anna Choromanska (New York University).

Engineering Department, CBL Room BE-438.

Wednesday 01 July 2015, 11:00-12:00

Machine Learning @ CUED

Random Function Classes for Machine Learning

Prof Alexander Smola, Carnegie Mellon University.

Cambridge University Engineering Department, LT1.

Tuesday 30 June 2015, 11:00-12:00

Machine Learning @ CUED

Explaining Non-Linear Classifier Decisions with application to Deep Learning

Prof Klaus-Robert Müller (TU Berlin).

Engineering Department, CBL Room BE-438.

Monday 29 June 2015, 15:00-16:00

Machine Learning @ CUED

Deep Gaussian processes and variational propagation of uncertainty

Andreas Damianou - Sheffield University.

Engineering Department, CBL Room BE-438.

Monday 29 June 2015, 11:00-12:00

Machine Learning @ CUED

Deep Learning

Professor Geoffrey Hinton FRS (U. Toronto and Google).

Cambridge University Engineering Department, Lecture Theatre 0.

Thursday 25 June 2015, 11:00-12:00

Machine Learning @ CUED

Random Function Classes for Machine Learning

Prof. Alex Smola (CMU).

Cambridge University Engineering Department, LT1.

Wednesday 24 June 2015, 11:00-12:00

Machine Learning @ CUED

Unsupervised Learning with Latent Variable Models

Zhenwen Dai.

Engineering Department, CBL Room BE-438.

Thursday 18 June 2015, 11:00-12:00

Machine Learning @ CUED

Unsupervised Learning with Latent Variable Models

Zhenwen Dai.

Engineering Department, CBL Room BE-438.

Tuesday 16 June 2015, 11:00-12:00

Machine Learning @ CUED

Structural Markov laws / Geometry and HMC

Dr Simon Byrne.

Engineering Department, CBL Room BE-438.

Tuesday 09 June 2015, 11:00-12:00

Machine Learning @ CUED

Mean Field Approaches to Two Sequential Decision Making Problems.

This talk will be given via Skype

Ramki Gummadi.

Engineering Department, CBL Room BE-438 - Skype.

Monday 08 June 2015, 17:00-18:00

Machine Learning @ CUED

Do Deep Nets Really Need to be Deep?

Dr Rich Caruana (Microsoft).

Engineering Department, CBL Room BE-438.

Tuesday 02 June 2015, 11:00-12:00

Machine Learning @ CUED

Probabilistic numerics: treating numerical computation as learning, or; it's Bayes all the way down

Michael Osborne (Oxford University).

Engineering Department, LR5 (Baker Building, Trumpington Street).

Tuesday 12 May 2015, 11:00-12:00

Machine Learning @ CUED

Direction-Only Optimisation for Neural Networks

Short talk

Mark Rowland (Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 06 May 2015, 11:00-11:30

Machine Learning @ CUED

Machine Learning for Quantitative Finance: A collaboration between the Cambridge Machine Learning Group and Cambridge Capital Management

Creighton Heaukulani, Matt Hoffman, Zoubin Ghahramani, and Andrew Baxter, .

Cambridge University Engineering Department, Lecture Room 5.

Thursday 30 April 2015, 11:00-12:00

Machine Learning @ CUED

Title to be confirmed

Tuan Anh Le (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 23 April 2015, 11:00-12:00

Machine Learning @ CUED

Inference for infinite mixture models and Gaussian Process mixtures of experts using simple approximate MAP Inference

Alexis Boukouvalas (Aston University).

Engineering Department, CBL Room BE-438.

Wednesday 15 April 2015, 11:00-12:00

Machine Learning @ CUED

Evolutionary dynamics in a continuous public goods game

Matthias Bauer .

Engineering Department, CBL Room BE-438.

Thursday 19 March 2015, 11:00-12:00

Machine Learning @ CUED

An introduction to the Mondrian Process

Matej Balog (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 12 March 2015, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Reach coding nirvana with test-driven development

Dan Mariash and Tom Godkin from Bank of America Merrill Lynch .

FW11, Computer Laboratory.

Thursday 05 March 2015, 13:15-14:15

Machine Learning @ CUED

Population Inference for Functional Brain Connectivity

Genevera I. Allen (Rice University).

Engineering Department, CBL Room BE-438.

Wednesday 04 March 2015, 11:00-12:00

Machine Learning @ CUED

Probabilistic approaches to understanding bird conversations

Dan Stowell (Queen Mary University of London).

Engineering Department, CBL Room BE-438.

Monday 02 March 2015, 11:00-12:00

Machine Learning @ CUED

A* Sampling

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438..

Tuesday 24 February 2015, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Knowledge Research

Keteven Tsereteli, Bloomberg.

FW26, Computer Laboratory.

Wednesday 18 February 2015, 13:15-14:30

Machine Learning @ CUED

Orthologous networks in biological systems

Dr Christopher Penfold (Warwick).

Engineering Department, CBL Room BE-438..

Wednesday 11 February 2015, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Data With Everything

Dr Tim Whitley, BT Distinguished Engineer, MD, Research & Innovation.

FW26, Computer Laboratory.

Thursday 05 February 2015, 13:15-14:15

Machine Learning @ CUED

Latent Branching Trees

Dr Theodore Kypraios (University of Nottingham).

Engineering Department, CBL Room BE-438..

Thursday 29 January 2015, 12:00-13:00

Machine Learning @ CUED

Experiments with Non-parametric Topic Models

Prof. Wray Buntine (Monash University).

Engineering Department, CBL Room BE-438..

Friday 23 January 2015, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Modelling Every Body - How computer vision, machine learning, 3D modelling and graphics help people shop with confidence online.

Dr Yu Chen, Metail.

FW26, Computer Laboratory.

Wednesday 21 January 2015, 13:10-00:00

Machine Learning @ CUED

The Blended Paradigm: A Bayesian Approach to Handling Outliers and Misspecified Models

Prof. Steven MacEachern (Ohio State University).

Engineering Department, CBL Room BE-438..

Monday 15 December 2014, 10:00-11:00

Technical Talks - Department of Computer Science and Technology

Compile-time Instruction Scheduling for Modern ARM Processors - Low Level Design Enabling Performance In High Level Applications

James Greenhalgh, ARM.

FW11, Computer Laboratory.

Friday 28 November 2014, 13:15-00:00

Machine Learning @ CUED

Machine Translation with LSTMs

Room changed to LR3B in Inglis building and time changed to 10:30

Ilya Sutskever (Google).

Engineering Department, LR3B.

Friday 28 November 2014, 10:30-11:30

Technical Talks - Department of Computer Science and Technology

Lambda, the ultimate config format

David House, JaneStreet.

FW26, Computer Laboratory.

Wednesday 26 November 2014, 13:00-00:00

Machine Learning @ CUED

Oracle Variational Inference

James McInerney (Columbia University).

Engineering Department, CBL Room BE-438..

Wednesday 26 November 2014, 11:00-12:00

Technical Talks - Department of Computer Science and Technology

Can we make light travel faster please?

Yelp.

FW11, Computer Laboratory.

Wednesday 19 November 2014, 13:15-00:00

Technical Talks - Department of Computer Science and Technology

Silicon swords to software ploughshares: the software networking revolution

Simon Chatterjee, Ensoft Ltd.

FW11, Computer Laboratory.

Friday 14 November 2014, 13:15-00:00

Machine Learning @ CUED

Bayesian modeling for high-level real nursing activity recognition using accelerometers

short talk

Prof. Naonori Ueda (Director Machine Learning and Data Science, NTT Labs).

Engineering Department, CBL Room BE-438..

Friday 14 November 2014, 11:00-11:30

Technical Talks - Department of Computer Science and Technology

High Performance Computing: Use of large CPU grids, GPUs and supercomputers for financial computation.

Michael Elliott and Andrey Zhezherun, JPMorgan .

FW26, Computer Laboratory.

Wednesday 12 November 2014, 13:00-00:00

Technical Talks - Department of Computer Science and Technology

Building the news search engine

Ram Aiyengar, Bloomberg.

FW26, Computer Laboratory.

Wednesday 05 November 2014, 13:15-14:30

Technical Talks - Department of Computer Science and Technology

Functional Languages and Financial Models: an Insight into Graph Programming

Chris Andrews, Morgan Stanley.

FW26, Computer Laboratory.

Tuesday 04 November 2014, 13:15-00:00

Technical Talks - Department of Computer Science and Technology

Real world lessons from building a search engine for ecommerce

Dhruv Kumar and Shaun Hall, The Hut Group.

FW26, Computer Laboratory.

Wednesday 29 October 2014, 13:15-14:30

Technical Talks - Department of Computer Science and Technology

EVi (An Amazon Company) Tech Talk - Answering any question, in any language, in one second or less

William Tunstall-Pedoe, Evi.

FW11, Computer Laboratory.

Monday 27 October 2014, 13:15-14:30

Machine Learning @ CUED

A Tutorial on Probabilistic Programming

Prof. Frank Wood (Oxford).

Engineering Department, CBL Room BE-438.

Thursday 23 October 2014, 14:00-17:00

Technical Talks - Department of Computer Science and Technology

Haxl: Efficient Data-fetching for Free

Simon Marlow, Facebook.

FW26, Computer Laboratory.

Wednesday 22 October 2014, 13:15-14:30

CUED Control Group Seminars

Optimal control and optimal sampling: A statistical physics perspective.

Bert Kappen, Radboud University Nijmegen, and UCL London.

Cambridge University Engineering Department, LR12.

Tuesday 21 October 2014, 14:30-15:30

Technical Talks - Department of Computer Science and Technology

Spanner: Google’s Planet-Spanning Database

Siamak Tazari, Google.

FW26, Computer Laboratory.

Thursday 16 October 2014, 13:15-14:30

Technical Talks - Department of Computer Science and Technology

Mobile Application Development at Bloomberg

Denis Kim, Bloomberg.

FW26, Computer Laboratory.

Wednesday 15 October 2014, 13:15-14:30

Machine Learning @ CUED

New Methods in Bayesian Optimization for Machine Learning

Jasper Snoek (Harvard University).

Engineering Department, CBL Room BE-438.

Thursday 25 September 2014, 11:00-12:00

Machine Learning @ CUED

A marginal sampler for σ-Stable Poisson-Kingman mixture models

Maria Lomeli-Garcia (Gatsby Unit, UCL).

Engineering Department, CBL Room BE-438..

Wednesday 24 September 2014, 11:00-12:00

Machine Learning @ CUED

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Wednesday 17 September 2014, 11:00-12:00

Machine Learning @ CUED

Unsupervised Many-to-many Object Matching

Dr Tomoharu Iwata (NTT).

Engineering Department, CBL Room BE-438.

Friday 12 September 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic Numerics - a snapshot of an emerging community

Philipp Hennig (Max Planck Institute for Intelligent Systems, Tübingen).

Engineering Department, CBL Room BE-438.

Thursday 11 September 2014, 11:00-12:00

Machine Learning @ CUED

On the Bethe approximation

Adrian Weller (Columbia University).

Engineering Department, CBL Room BE-438..

Monday 11 August 2014, 11:00-12:00

Machine Learning @ CUED

Gaussian process regression on graphs

Peter Sollich (King's College London).

Engineering Department, CBL Room BE-438..

Wednesday 16 July 2014, 11:00-12:00

Machine Learning @ CUED

Implicit Representation Networks

David Barber (University College London).

Engineering Department, CBL Room BE-438..

Wednesday 02 July 2014, 11:00-12:00

Machine Learning @ CUED

Scalable Deep Gaussian Processes

James Hensman (University of Sheffield).

Engineering Department, CBL Room BE-438..

Tuesday 01 July 2014, 11:00-12:00

Machine Learning @ CUED

Active Learning of Linear Embeddings for Gaussian Processes

Roman Garnett, University of Bonn.

Engineering Department, CBL Room BE-438..

Tuesday 10 June 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian monitoring for the Comprehensive Nuclear-Test-Ban Treaty

Professor Stuart Russell (UC Berkeley).

Engineering Department, CBL Room BE-438..

Tuesday 03 June 2014, 11:00-12:00

Machine Learning @ CUED

Unifying logic and probability: A "New Dawn" for Artificial Intelligence?

NOTE THE SPECIAL VENUE (Microsoft Research)

Professor Stuart Russell (UC Berkeley).

Auditorium, Microsoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

Monday 02 June 2014, 11:00-12:00

Machine Learning @ CUED

Practical Machine Learning at Facebook. Examples and Lessons Learnt.

Room changed to LR4

Joaquin Quinonero Candela (Facebook).

Engineering Department - ***LR4***.

Tuesday 20 May 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian inference for integer-valued Lévy processes with Non-Gaussian Ornstein-Uhlenbeck volatility modelling

short talk (30 mins) - NOTE TIME CHANGE

Andrea Cremaschi (Kent).

Engineering Department, CBL Room BE-438.

Friday 16 May 2014, 10:30-11:30

Machine Learning @ CUED

Density Estimation in Infinite Dimensional Exponential Families

Bharath Sriperumbudur (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 14 May 2014, 11:00-12:30

Machine Learning @ CUED

Stable Poisson-Kingman species sampling priors generated by general ordered size biased generalized gamma mixing distributions

Prof. Lancelot James (HKUST).

Engineering Department, CBL Room BE-438.

Thursday 08 May 2014, 11:00-12:30

Machine Learning @ CUED

Probabilistic computing applications: BayesDB and stochastic digital circuits

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Friday 04 April 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic computing for Bayesian inference

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Wednesday 02 April 2014, 13:30-14:30

Machine Learning @ CUED

Machine Learning and Order Book Dynamics

Tristan Fletcher .

Engineering Department, CBL Room BE-438.

Wednesday 02 April 2014, 11:00-12:00

Machine Learning @ CUED

Policy Evaluation with Temporal Differences

Christoph Dann (Technische Universität Darmstadt).

Engineering Department, CBL Room BE-438.

Friday 28 March 2014, 11:00-12:00

Machine Learning @ CUED

Matrix Means, Distances, Kernels, and Geometric Optimization

Suvrit Sra (Max-Planck Institute for Intelligent Systems and CMU).

Engineering Department, CBL Room BE-438.

Monday 17 March 2014, 11:30-12:30

Statistics

Alpha-Stable Poisson-Kingman Processes: Some Applications and Methodologies

Yee Whye Teh, University of Oxford.

MR12, Centre for Mathematical Sciences, Wilberforce Road, Cambridge.

Friday 14 March 2014, 16:00-17:00

Machine Learning @ CUED

Learning to Learn for Structured Sparsity

Nino Shervashidze (INRIA).

Engineering Department, CBL Room BE-438.

Tuesday 11 March 2014, 11:00-12:00

Machine Learning @ CUED

Bayesian nonparametric dynamic-clustering and genetic imputation

Lloyd Elliott (Gatsby Unit, UCL / Oxford).

Engineering Department, CBL Room BE-438.

Tuesday 04 March 2014, 11:00-12:00

Machine Learning @ CUED

Parameter estimation in deep learning architectures: Two new insights.

Note: time is 12 noon (*not* 11am)

Prof. Nando de Freitas (Oxford).

Cambridge University Engineering Department, LR6.

Friday 28 February 2014, 12:00-13:00

Machine Learning @ CUED

Bayesian canonical correlation analysis

Seppo Virtanen (Aalto University).

Engineering Department, CBL Room BE-438.

Friday 28 February 2014, 11:00-12:00

Machine Learning @ CUED

Cambridge - Tuebingen PhD Applicant Talks (via Skype)

Interview talks via Skype

Speaker to be confirmed.

Engineering Department, CBL Room BE-438.

Tuesday 25 February 2014, 09:00-16:00

Machine Learning @ CUED

Generative probabilistic programming: applications and new ideas

Yura Perov (Oxford).

Engineering Department, CBL Room BE-438.

Monday 24 February 2014, 11:00-12:00

Machine Learning @ CUED

Particle filters and curse of dimensionality

Note: TALK via Skype!

Patrick Rebeschini (Princeton).

Engineering Department, CBL Room BE-438.

Friday 21 February 2014, 14:00-15:00

Machine Learning @ CUED

Bayesian nonparametrics: Dependency and Constraint Modeling

Note: TALK via Skype!

Changyou Chen (ANU).

Engineering Department, CBL Room BE-438.

Thursday 20 February 2014, 10:00-11:00

Machine Learning @ CUED

Bayesian Nonparametric Model for Power Disaggregation

Isabel Valera (University Carlos III in Madrid).

Engineering Department, CBL Room BE-438.

Monday 17 February 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic machine learning for knowledge extraction from videos and text

Note venue: LR6

Kevin Murphy (Google).

Cambridge University Engineering Department, LR6.

Wednesday 12 February 2014, 11:00-12:00

Machine Learning @ CUED

Frequentist coverage of adaptive nonparametric Bayesian credible sets

Botond Szabo (Eindhoven University of Technology).

Engineering Department, CBL Room BE-438.

Monday 03 February 2014, 11:00-12:00

Machine Learning @ CUED

Anglican; Particle MCMC inference for Probabilistic Programs

Jan-Willem van de Meent (Columbia University).

Engineering Department, CBL Room BE-438.

Wednesday 15 January 2014, 11:00-12:00

Machine Learning @ CUED

Sparse discriminative latent characteristics for predicting cancer drug sensitivity

David Knowles (Stanford University).

Engineering Department, CBL Room BE-438.

Friday 10 January 2014, 11:00-12:00

Machine Learning @ CUED

Contrastive Learning Using Spectral Methods

James Zou (Harvard).

Engineering Department, CBL Room BE-438.

Wednesday 06 November 2013, 13:30-14:30

Machine Learning @ CUED

Nonparametric Bayesian statistics with exchangeable random structures

Daniel Roy.

Engineering Department, CBL Room BE-438.

Friday 11 October 2013, 12:00-15:00

Machine Learning @ CUED

Dissecting genotype to phenotype relationships

Oliver Stegle (EMBL-European Bioinformatics Institute).

Engineering Department, CBL Room BE-438.

Thursday 10 October 2013, 11:00-12:00

Machine Learning @ CUED

CANCELLED: Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

CANCELLED

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Friday 27 September 2013, 11:00-12:00

Machine Learning @ CUED

Clustering Based on Predictive Variances in Gaussian Process Regression Models

Dr Hyun-Chul Kim .

Engineering Department, CBL Room BE-438.

Friday 13 September 2013, 11:00-12:00

Machine Learning @ CUED

Non-Parametric Conditional Random Fields in Computer Vision and Image Processing

Jeremy Jancsary (Microsoft Research Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 08 August 2013, 11:00-12:00

Machine Learning @ CUED

Higher Order Learning for Classification in Emergency Situations

Hannah Pauline Keiler (Columbia University and DIMACS).

Engineering Department, CBL Room BE-438.

Tuesday 06 August 2013, 11:00-12:00

Machine Learning @ CUED

Annealing Between Distributions by Averaging Moments

Chris Maddison (U Toronto).

Engineering Department, CBL Room BE-438.

Friday 02 August 2013, 11:00-12:00

NLIP Seminar Series

Recursive Deep Learning for Modeling Semantic Compositionality

Richard Socher - Stanford University.

FW26, Computer Laboratory.

Wednesday 31 July 2013, 14:00-15:00

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

Dr. Eleftheria Zeggini and Dr Ioanna Tachmazidou (Sanger Institute).

Engineering Department, CBL Room BE-438.

Monday 01 July 2013, 11:00-12:00

Machine Learning @ CUED

The combinatorial structure of conditionally i.i.d. negative binomial processes directed by a beta process

Creighton Heaukulani (University of Cambridge).

Engineering Department, CBL Room BE-438.

Thursday 06 June 2013, 13:00-13:30

jg691's list

Google's Approach to Building Relationships with Universities: Presentation and Talk by Dr David J Harper

Dr David J Harper .

LR12, Baker Building, Department of Engineering (Trumpington Street, Cambridge CB2 1PZ).

Wednesday 22 May 2013, 10:20-11:20

Machine Learning @ CUED

Matrix Concentration Inequalities via the Method of Exchangeable Pairs

Professor Michael I Jordan (UC Berkeley).

Cambridge University Engineering Department, Lecture Room 1.

Thursday 09 May 2013, 16:00-17:00

Machine Learning @ CUED

Deep Gaussian Processes

Prof. Neil Lawrence (Sheffield).

Engineering Department, CBL Room BE-438.

Wednesday 01 May 2013, 15:00-16:00

Machine Learning @ CUED

Approaches to statistical modeling of network data

Maxim Nazarov (Bocconi University).

Engineering Department, CBL Room BE-438.

Tuesday 30 April 2013, 11:00-12:00

Machine Learning @ CUED

Bayesian nonparametric methods for non-exchangeable data

Nick Foti (Dartmouth College).

Engineering Department, CBL Room BE-438.

Monday 15 April 2013, 11:00-12:00

Machine Learning @ CUED

Non-parametric Bayesian Chromatin State Segmentation

Will Allen (University of Cambridge and MRC-LMB).

Engineering Department, CBL Room BE-438.

Monday 08 April 2013, 11:00-12:00

Machine Learning @ CUED

Fast Variational Inference in the Conjugate Exponential Family

James Hensman, The Sheffield Institute for Translational Neuroscience.

Engineering Department, CBL Room BE-438.

Monday 25 March 2013, 11:00-12:00

Machine Learning @ CUED

An application of HDP And IBP for stream-based action recognition and high dimensional data

Ava Bargi : University of Technology, Sydney.

Engineering Department, CBL Room BE-438.

Monday 11 March 2013, 11:30-12:00

Machine Learning @ CUED

Using Context and Insight for the Analysis of LittleData?

Philipp Moritz (U Cambridge).

Engineering Department, CBL Room BE-438.

Friday 08 March 2013, 11:00-11:30

Machine Learning @ CUED

Feature allocations, probability functions, and paintboxes

Tamara Broderick (UC Berkeley).

Engineering Department, CBL Room BE-438.

Wednesday 27 February 2013, 11:30-12:30

Machine Learning @ CUED

Modelling Reciprocating Relationships with Hawkes Processes

Charles Blundell (Gatsby Unit, UCL).

Engineering Department, CBL Room BE-438.

Friday 22 February 2013, 11:00-12:00

Machine Learning @ CUED

Structural Expectation Propagation (SEP): Bayesian structure learning for networks with latent variables

Nevena Lazic (Microsoft Research Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 30 January 2013, 11:00-12:00

Machine Learning @ CUED

The combinatorial structure underlying a beta processes is that of a continuum of Blackwell-MacQueen urn schemes

Dr Daniel Roy (University of Cambridge).

Engineering Department, CBL Room BE-438.

Tuesday 20 November 2012, 13:00-14:30

Machine Learning @ CUED

Learning of Milky Way Model Parameters Using Matrix-variate Data in a New Gaussian Process-based Method

Dr Dalia Chakrabarty (University of Warwick).

Engineering Department, CBL Room BE-438.

Thursday 15 November 2012, 11:30-12:30

Machine Learning @ CUED

Identification of causal effects

Nevena Lazic.

Engineering Department, CBL Room BE-438.

Thursday 25 October 2012, 14:30-16:00

Machine Learning @ CUED

Probabilistic methods for biomolecular structure simulations

Jes Frellsen (University of Copenhagen).

Engineering Department, CBL Room BE-438.

Monday 22 October 2012, 11:00-12:00

Computer Laboratory Systems Research Group Seminar

Distributed, Real-Time Bayesian Learning in Online Services

Ralf Herbrich (Facebook).

LT1, Computer Laboratory, William Gates Builiding.

Tuesday 16 October 2012, 16:00-17:00

Machine Learning @ CUED

Compressed Sensing Applications in Functional Magnetic Resonance Imaging

Christine Law (Oxford University).

Engineering Department, CBL Room BE-438.

Wednesday 26 September 2012, 11:00-12:00

Microsoft Research Cambridge, public talks

Convergent and Scalable Algorithms for Expectation Propagation Approximate Bayesian Inference

This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending

Matthias Seeger, EPFL.

Small lecture theatre, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

Tuesday 25 September 2012, 15:00-16:00

Machine Learning @ CUED

Multi-Label Learning with Millions of Categories

Manik Varma (Microsoft Research India).

Engineering Department, CBL Room BE-438.

Monday 24 September 2012, 11:00-12:00

Machine Learning @ CUED

Efficient Sampling with Kernel Herding

Yutian Chen (University of California at Irvine) - talk given by videolink.

Engineering Department, CBL Room BE-438.

Wednesday 12 September 2012, 16:00-17:00

Machine Learning @ CUED

Frank-Wolfe optimization insights in machine learning

Simon Lacoste-Julien (INRIA, ENS, Paris).

Engineering Department, CBL Room BE-438.

Friday 24 August 2012, 11:00-12:00

Machine Learning @ CUED

Deep learning for vision: a case study for visual textures, and some thoughts on a general framework

Prof. Chris Williams ( School of Informatics, University of Edinburgh).

Engineering Department, CBL Room BE-438.

Wednesday 08 August 2012, 14:00-15:00

Machine Learning @ CUED

Thermodynamics as a Theory of Decision-Making with Information Processing Costs

Pedro Ortega (Max Planck Institute for Intelligent Systems).

Engineering Department, CBL Room BE-438.

Friday 03 August 2012, 14:00-15:00

Machine Learning @ CUED

Human Behavior Classification with Infinite Hidden Conditional Random Fields

Konstantinos Bousmalis and Stefanos Zafeiriou (Imperial College).

Engineering Department, CBL Room BE-438.

Friday 27 July 2012, 11:00-12:00

Machine Learning @ CUED

Fast Gaussian process learning for regression, semi-supervised classification, and multiway analysis

Prof Alan Qi (Purdue U).

Engineering Department, CBL Room BE-438.

Wednesday 04 July 2012, 14:00-15:00

Machine Learning @ CUED

Non-parametric Bayesian Learning of User Preferences: Elicitation, Sparsification and Beyond

Edwin Bonilla (NICTA/ANU).

Engineering Department, CBL Room BE-438.

Wednesday 04 July 2012, 11:00-12:00

Machine Learning @ CUED

Structured Prediction using Linear Programming Relaxations

David Sontag (NYU).

Engineering Department, CBL Room BE-438.

Tuesday 03 July 2012, 11:00-12:00

Machine Learning @ CUED

Discovery of Complex Behaviors through Contact-Invariant Optimization

Igor Mordatch (University of Washington).

Engineering Department, CBL Room BE-438.

Tuesday 19 June 2012, 11:00-12:00

Machine Learning @ CUED

Learning with nonparametric dependence and divergence estimation

Barnabas Poczos (Carnegie Mellon University).

Engineering Department, CBL Room BE-438.

Tuesday 08 May 2012, 11:00-12:00

Machine Learning @ CUED

Past work and future interests: respectively, the scattering of Anyons and Monte Carlo methods

Alexander Matthews.

Engineering Department, CBL Room BE-438.

Friday 04 May 2012, 11:15-12:00

Machine Learning @ CUED

Non-parametric Bayesian Method and Maximum-A-Posteriori Inference in Statistical Machine Translation

Tsuyoshi Okita (Dublin City University).

Engineering Department, CBL Room BE-438.

Wednesday 02 May 2012, 11:15-12:15

Machine Learning @ CUED

Infinite Structured Explicit Duration Hidden Markov Models

Jonathan Huggins (Columbia University).

Engineering Department, CBL Room BE-438.

Thursday 15 March 2012, 11:00-11:45

Machine Learning @ CUED

Probabilistic computing: computation as universal stochastic inference, not deterministic calculation

Vikash K. Mansinghka (MIT).

Engineering Department, CBL Room BE-438.

Thursday 23 February 2012, 12:30-13:30

Machine Learning @ CUED

Scaling Machine Learning for the Internet

Prof. Alexander Smola (Yahoo!).

Cambridge University Engineering Department, Lecture Room 4.

Wednesday 07 December 2011, 11:00-12:00

Machine Learning @ CUED

Bayesian Quadrature for Prediction and Optimisation

Michael Osborne ( Oxford University).

Engineering Department, CBL Room 438.

Monday 28 November 2011, 11:00-12:00

Machine Learning @ CUED

Efficient MCMC for Continuous Time Discrete State Systems

Vinayak Rao (UCL).

Engineering Department, CBL Room 438.

Wednesday 23 November 2011, 11:00-12:00

Machine Learning @ CUED

A Maximum Entropy Perspective on Spectral Dimensionality Reduction

Prof Neil Lawrence (Sheffield).

Engineering Department, CBL Room 438.

Wednesday 16 November 2011, 15:00-16:00

Machine Learning @ CUED

Variational Inference for Non-Conjugate Models

Dr Guillaume Bouchard (Xerox).

Engineering Department, CBL Room 438.

Wednesday 26 October 2011, 11:00-12:00

Machine Learning @ CUED

Not so naive Bayesian classification

Prof. Geoff Webb (Monash Univ).

Engineering Department, CBL Room 438.

Wednesday 12 October 2011, 11:00-12:00

Machine Learning @ CUED

Bayesian Nonparametrics: Latent Feature and Prediction Models, and Efficient Inference

Piyush Rai (University of Utah).

Engineering Department, CBL Room 438.

Tuesday 11 October 2011, 11:30-12:30

Machine Learning @ CUED

Machine Learning Markets

Dr Amos Storkey (Edinburgh).

Engineering Department, CBL Room 438.

Friday 07 October 2011, 11:00-12:00

Machine Learning @ CUED

Factored Shapes and Appearances for Parts-based Object Understanding AND Transformation Equivariant Boltzmann Machines

Chris Williams, School of Informatics, University of Edinburgh.

Engineering Department, CBL Room 438.

Tuesday 27 September 2011, 11:00-12:00

Machine Learning @ CUED

Optimal Reinforcement Learning for Gaussian Systems

Philipp Hennig, Max Planck Institute for Intelligent Systems, Department of Empirical Inference, Tübingen, Germany.

Engineering Department, CBL Room 438.

Monday 19 September 2011, 15:00-16:00

Machine Learning @ CUED

Exclusive Pólya Urns and their applications

Christian Steinruecken (University of Cambridge).

Engineering Department, CBL Room 438.

Friday 16 September 2011, 11:00-12:00

Machine Learning @ CUED

Approximate Bayesian Inference for Large Scale Inverse Problems: A Computational Viewpoint

Prof. Matthias Seeger (EPFL).

Engineering Department, CBL Room 438.

Thursday 28 July 2011, 11:30-12:30

Machine Learning @ CUED

Some Practical Reflections on Graphical Models

Dr Charles Sutton (University of Edinburgh).

Engineering Department, CBL Room 438.

Wednesday 13 July 2011, 11:00-12:00

Machine Learning @ CUED

Beyond Keyword Search: Discovering Relevant Scientific Literature

Khalid El-Arini (Carnegie Mellon University).

Engineering Department, CBL Room 438.

Monday 11 July 2011, 11:00-12:00

Machine Learning @ CUED

Graphical Models for Bandit Problems

Kareem Amin (University of Pennsylvania).

Engineering Department, CBL Room 438.

Monday 04 July 2011, 11:00-12:00

Machine Learning @ CUED

Bayesian regression and classification with multivariate sparsifying priors

Prof. Tom Heskes (Radboud University Nijmegen).

Engineering Department, CBL Room 438.

Tuesday 21 June 2011, 14:30-15:30

Machine Learning @ CUED

An FX trading system using adaptive reinforcement learning

(rescheduled from May 24th)

Professor Michael Dempster (Statistical Laboratory).

Engineering Department, CBL Room 438.

Tuesday 07 June 2011, 11:00-12:00

Machine Learning @ CUED

Censored Exploration in Dark Pools

Prof. Michael Kearns (University of Pennsylvania).

Engineering Department, CBL Room 438.

Friday 03 June 2011, 11:00-12:00

Machine Learning @ CUED

An FX trading system using adaptive reinforcement learning

RESCHEDULED FOR JUNE 7th

Professor Michael Dempster (Statistical Laboratory).

Engineering Department, CBL Room 438.

Tuesday 24 May 2011, 11:00-12:00

Machine Learning @ CUED

Characterization of the Ewens-Pitman family of random partitions by a deletion property and a de Finetti-type theorem for exchangeable hierarchies

Chris Haulk (UC Berkeley).

Engineering Department, CBL Room 438.

Monday 11 April 2011, 11:00-12:00

Machine Learning @ CUED

Nonlinear Dynamics of Learning

Prof. Max Welling (UC Irvine).

Engineering Department, CBL Room 438.

Monday 21 March 2011, 11:00-12:00

Machine Learning @ CUED

Exponential Conditional Volatility Models

Prof Andrew Harvey (Economics, Cambridge).

Engineering Department, CBL Room 438.

Tuesday 15 March 2011, 11:00-12:00

Machine Learning @ CUED

Challenges in implementing the Bayesian paradigm

Prof. Steve MacEachern (Ohio State).

Engineering Department, CBL Room 438.

Thursday 10 March 2011, 12:00-13:00

Machine Learning @ CUED

Expectation Propagation in Sparse Linear Models with Spike and Slab Priors

Dr José Miguel Hernández Lobato (Univ. Aut. Madrid).

Engineering Department, CBL Room 438.

Friday 04 March 2011, 11:30-12:30

Machine Learning @ CUED

Probabilistic matrix factorization for reconstruction of missing data

Dr Alexander Ilin (Aalto University).

Engineering Department, CBL Room 438.

Friday 04 March 2011, 10:30-11:30

Machine Learning @ CUED

Title to be confirmed

Yee Whye Teh (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Friday 25 February 2011, 11:00-12:00

Machine Learning @ CUED

Differential Geometric MCMC Methods

Prof. Mark Girolami (UCL).

Engineering Department, CBL Room 438.

Tuesday 01 February 2011, 11:00-12:00

Machine Learning @ CUED

Mining viral datasets

Dr Simon Frost (University of Cambridge).

Engineering Department, CBL Room 438.

Tuesday 25 January 2011, 11:00-12:00

Machine Learning @ CUED

Universal Bayesian Agents: Theory and Applications

Prof. Marcus Hutter (ANU).

Engineering Department, CBL Room 438.

Tuesday 18 January 2011, 11:00-12:00

Machine Learning @ CUED

Machine learning in cancer research (a.k.a CRI meets CUED)

(note new date)

Dr Florian Markowetz (CRUK) - lab visit.

Engineering Department, CBL Room 438.

Monday 17 January 2011, 11:00-12:00

Machine Learning @ CUED

Novi Quadrianto

Novi Quadrianto, Australian National University.

Engineering Department, CBL Room 438.

Thursday 13 January 2011, 11:00-12:00

Machine Learning @ CUED

Learning item trees for collaborative filtering with implicit feedback

Dr Andriy Mnih (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Tuesday 30 November 2010, 11:00-12:00

Machine Learning @ CUED

Non-Smooth-Norm Image Reconstruction from Noisy Data

Dr Paolo Emilio Barbano (DAMTP, University of Cambridge).

Engineering Department, CBL Room 438.

Friday 26 November 2010, 11:00-12:00

Machine Learning @ CUED

Crowdsourcing data modelling

Anthony Goldbloom (Kaggle).

Engineering Department, CBL Room 438.

Thursday 18 November 2010, 11:00-12:00

Machine Learning @ CUED

CANCELLED

CANCELLED

Dr Paolo Emilio Barbano (DAMTP).

Engineering Department, CBL Room 438.

Thursday 11 November 2010, 11:00-12:00

Machine Learning @ CUED

Short talks: Mixed Cumulative Distribution Networks; Nonparametric Bayesian community discovery in social networks; Expectation Propagation for Dirichlet Process Mixture Models

Charles Blundell, Lloyd Elliot and Vinayak Rao, Gatsby Unit, UCL.

Engineering Department, CBL Room 438.

Friday 05 November 2010, 13:30-15:00

Machine Learning @ CUED

Searching for Knowledge Instead of Web Pages

Gjergji Kasneci (Microsoft Research, Cambridge).

Engineering Department, CBL Room 438.

Thursday 30 September 2010, 11:00-12:00

Machine Learning @ CUED

Bayesian Inference with Kernels

Dr Arthur Gretton (UCL).

Engineering Department, CBL Room 438.

Monday 20 September 2010, 11:00-12:00

Machine Learning @ CUED

On the Equivalence of Graph Cuts and Max-product Belief Propagation

Danny Tarlow (University of Toronto).

Engineering Department, CBL Room 438.

Wednesday 25 August 2010, 14:00-15:00

Machine Learning @ CUED

Culture wars, voting and polarization: divisions and unities in modern American politics

general audience talk (non-technical) -- NOTE change of room to LR4!

Prof Andrew Gelman (Columbia University).

Engineering Department - LR4.

Thursday 29 July 2010, 16:30-17:30

Machine Learning @ CUED

Creating structured and flexible models: some open problems

Prof Andrew Gelman (Columbia University).

Engineering Department, CBL Room 438.

Wednesday 28 July 2010, 14:00-15:00

Machine Learning @ CUED

Efficient Bayesian analysis of multiple changepoint models

Prof Paul Fearnhead (Lancaster).

Engineering Department, CBL Room 438.

Monday 26 July 2010, 15:00-16:00

Machine Learning @ CUED

Learning Common Grammar from Multilingual Corpus / Online Multiscale Dynamic Topic Models

Dr. Tomoharu Iwata (NTT).

Engineering Department, CBL Room 438.

Wednesday 21 July 2010, 11:00-12:00

Machine Learning @ CUED

Scalable Parallel Computing with CUDA

James Balfour (NVIDIA).

Engineering Department, CBL Room 438.

Tuesday 20 July 2010, 14:00-15:00

Machine Learning @ CUED

Using transformed domains to sparsify Gaussian Processes

Dr Miguel Lázaro-Gredilla (Universidad Carlos III de Madrid).

Engineering Department, CBL Room 438.

Monday 12 July 2010, 11:30-12:30

Machine Learning @ CUED

Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design

Andreas Krause (Caltech).

Engineering Department, CBL Room 438.

Wednesday 07 July 2010, 11:00-12:00

Machine Learning @ CUED

Natural Conjugate Gradient Learning for Fixed-Form Variational Bayes

Dr Antti Honkela (Aalto University School of Science and Technology, Finland).

Engineering Department, CBL Room 438.

Wednesday 16 June 2010, 11:00-12:00

Machine Learning @ CUED

Sparse Factor Analysis Applied to Three Biological Problems

Barbara Engelhardt (University of Chicago).

Engineering Department, CBL Room 438.

Tuesday 15 June 2010, 11:00-12:00

Machine Learning @ CUED

Using topic models to help cure cancer

Prof Quaid Morris (Toronto).

Engineering Department, CBL Room 438.

Friday 11 June 2010, 14:00-15:00

Machine Learning @ CUED

Message Passing In Centralized Database

short talk

Konstantina Palla (Edinburgh).

Engineering Department, CBL Room 438.

Friday 11 June 2010, 11:00-11:30

Machine Learning @ CUED

Structured Prediction Cascades

Dr. Ben Taskar (University of Pennsylvania).

Engineering Department, CBL Room 438.

Thursday 10 June 2010, 11:30-12:30

Machine Learning @ CUED

Parametric Bandits, Query Learning, and the Haystack Dimension

Prof. Michael Kearns (University of Pennsylvania).

Engineering Department, CBL Room 438.

Wednesday 09 June 2010, 14:00-15:00

Machine Learning @ CUED

Slice sampling with latent Gaussian models

Dr Iain Murray (Toronto / Edinburgh).

Engineering Department, CBL Room 438.

Tuesday 16 March 2010, 11:00-12:00

Machine Learning @ CUED

Dynamic Network Tomography: Model, Algorithm, Theory, and Application

Prof. Eric Xing (CMU).

Engineering Department, CBL Room 438.

Thursday 11 March 2010, 14:00-15:00

Machine Learning @ CUED

Making Sense of Data - A Research Agenda

Prof Bob Williamson (ANU and Scientific Director of NICTA).

Cambridge University Engineering Department, Lecture Room 6.

Thursday 11 March 2010, 11:00-12:00

Machine Learning @ CUED

Recursive CRFs for Scalable Vision

short talk

David Duvenaud (UBC).

Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 12:30-13:00

Machine Learning @ CUED

Subspace Codes for Adversarial Error-Correction in Network Coding

short talk

Azadeh Khaleghi (University of Toronto).

Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 11:30-12:00

Computational and Biological Learning Seminar Series

Title to be confirmed

Short talk

Alex Davies (ANU).

Engineering Department, CBL Room 438.

Wednesday 10 March 2010, 11:00-11:30

Machine Learning @ CUED

Bayesian Inference in Networks of Queues

Dr Charles Sutton (Edinburgh).

Engineering Department, CBL Room 438.

Tuesday 09 March 2010, 11:00-12:00

Machine Learning @ CUED

Stochastic Outlier Selection

Jeroen Janssens (Tilburg University / University of Cambridge).

Engineering Department, CBL Room 438.

Monday 08 March 2010, 16:00-16:30

Machine Learning @ CUED

Mind Reading by Machine Learning: Optimal Experimental Design

Short talk

Neil Houlsby (CUED).

Engineering Department, CBL Room 438.

Tuesday 02 February 2010, 11:00-11:30

Machine Learning @ CUED

Machine Learning Course (4F13)

4F13 course - repeats Wed, Thurs at 10am during Lent

Zoubin Ghahramani and Carl Rasmussen (Cambridge).

Cambridge University Engineering Department, Lecture Room 12 (Trumpington Street).

Wednesday 20 January 2010, 10:00-11:00

Machine Learning @ CUED

CANCELLED: Learning Components for Human Sensing

CANCELLED

Dr Fernando de la Torre (CMU).

Engineering Department, CBL Room 438.

Tuesday 19 January 2010, 11:00-12:00

Machine Learning @ CUED

Visuospatial Reasoning

Short Talk

Stephanie Chan (MIT).

Engineering Department, CBL Room 438.

Monday 18 January 2010, 10:00-10:30

Machine Learning @ CUED

Machine Learning Course (4F13)

4F13 course - repeats Wed, Thurs at 10am during Lent

Zoubin Ghahramani and Carl Rasmussen (Cambridge).

Cambridge University Engineering Department, Lecture Room 12 (Trumpington Street).

Thursday 14 January 2010, 10:00-11:00

Machine Learning @ CUED

Optimal Tag Sets for Automatic Image Annotation

short talk

Sean Moran (Edinburgh).

Engineering Department, CBL Room 438.

Friday 04 December 2009, 11:00-12:00

dak33's list

Joint imputation and estimation of haplotype transition probabilities

Wolfgang Lehrach, Microsoft Research Cambridge.

Cambridge University Engineering Department, CBL Rm #438 (http://blg.eng.cam.ac.uk/t/bin/view/Public/Contact).

Wednesday 02 December 2009, 11:00-12:00

Machine Learning @ CUED

Indian Buffet Processes with Power-law Behaviour

Yee Whye Teh (Gatsby Unit, UCL).

Engineering Department, CBL Room 438.

Friday 20 November 2009, 14:00-15:00

Machine Learning @ CUED

Gaussian Processes for Active Data Selection, Faults, Changepoints and Sensor Selection

Prof. Stephen Roberts (Oxford).

Engineering Department, CBL Room 438.

Thursday 19 November 2009, 14:00-15:00

Machine Learning @ CUED

KL control theory and decision making under uncertainty

Bert Kappen ( Radboud University Nijmegen, The Netherlands).

Engineering Department, CBL Room 438.

Tuesday 10 November 2009, 11:00-12:00

Machine Learning @ CUED

Information theoretic model selection in clustering

Joachim M Buhmann, Department of Computer Science, ETH Zurich.

Engineering Department, CBL Room 438.

Wednesday 28 October 2009, 11:00-12:00

Machine Learning @ CUED

Motor Skills Learning for Robotics

Jan Peters, Max Planck Institute for Biological Cybernetics in Tübingen.

Engineering Department, CBL Room 438.

Friday 09 October 2009, 13:00-14:00