University of Cambridge > Talks.cam > ML

ML

Add to your list(s) Send you e-mail reminders Further detail
Subscribe using ical/vcal (Help)

Tell a friend about this list:

If you have a question about this list, please contact: Tomas Van Pottelbergh. If you have a question about a specific talk, click on that talk to find its organiser.

0 upcoming talks and 1256 talks in the archive: show all (slow!).

Machine Learning Reading Group @ CUED

AI Control

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserDmitrii Krasheninnikov, Lauro Langosco, University of Cambridge.

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

ClockWednesday 17 April 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Neural likelihood-free inference

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserYanzhi Chen, University of Cambridge.

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

ClockWednesday 20 March 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

An Introduction to the Conjugate Gradient Method

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserJihao Andeas Lin, University of Cambridge.

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

ClockWednesday 13 March 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

An Introduction to Transformer Neural Processes

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserMatt Ashman and Cristiana Diaconu.

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

ClockWednesday 28 February 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Learning Symmetries in Neural Networks

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserJames Allingham and Bruno Mlodozeniec .

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

ClockWednesday 21 February 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

GenCast: Diffusion-based ensemble forecasting for medium-range weather (or: How to ruin a numerical weather forecaster’s Christmas)

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserAndrew McDonald and Kenza Tazi, University of Cambridge.

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

ClockWednesday 14 February 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Bayesian coresets

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserTor Fjelde and Will Tebbutt, University of Cambridge.

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

ClockWednesday 07 February 2024, 11:00-12:30

Machine Learning Reading Group @ CUED

Flow matching, stochastic interpolants and everything in between

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserEmile Mathieu, Tor Fjelde and Vincent Dutordoir (Cambridge MLG).

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

ClockWednesday 29 November 2023, 11:00-12:30

Machine Learning @ CUED

Modern Bayesian Experimental Design

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

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

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

Machine Learning Reading Group @ CUED

Challenges of Regulating Increasingly Complicated Human-AI Collaborative Systems

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserDr Miri Zilka and Katie Collins, University of Cambridge.

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

ClockWednesday 22 November 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

A Poisson Process Model for Monte Carlo

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserGreg Flamich, University of Cambridge.

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

ClockWednesday 15 November 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Learning Directed Acyclic Graphs (DAGs) With Continuous Optimization

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserDr Pingfan Song, University of Cambridge.

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

ClockWednesday 08 November 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Deep Learning for Medium-Range Global Weather Prediction

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserProf. Richard Turner and Stratis Markou, University of Cambridge.

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

ClockWednesday 01 November 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Learning linear models in-context with transformers

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserSpencer Frei, UC Davis.

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

ClockWednesday 25 October 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Deciphering Batch Effects in Single-cell Transcriptomics with Concept Bottlenecks

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserHanchen Wang, Stanford CS and Genentech gRED.

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

ClockWednesday 28 June 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Schrödinger bridges, diffusion and SDEs

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserStratis Markou and Shreyas Padhy.

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

ClockWednesday 21 June 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

The LLM Tidal Wave

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserKatie Collins, University of Cambridge.

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

ClockWednesday 14 June 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

The LLM Tidal Wave

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserKatie Collins, University of Cambridge.

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

ClockWednesday 14 June 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Game theory, distributional reinforcement learning, control and verification

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserProf. Alessandro Abate, Dr. Licio Romao, Dr. Yulong Gao and Dr. Jiarui Gan. University of Oxford.

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

ClockWednesday 07 June 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

On choosing the mass matrix for Hamiltonian Monte Carlo

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserTor Fjelde and Tim Hargreaves, University of Cambridge.

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

ClockWednesday 31 May 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Reward Modelling

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserUsman Anwar, University of Cambridge.

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

ClockWednesday 24 May 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Navigating the Future: Upcoming EU AI Regulation and its Potential Impact on the Field

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserMiri Zilka, University of Cambridge.

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

ClockWednesday 10 May 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Learning-based multiscale modeling: computing, data science, and uncertainty quantification

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserBurigede Liu.

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

ClockWednesday 03 May 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserAdrian Goldwaser and Lauro Langosco (University of Cambridge) .

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

ClockWednesday 19 April 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

No-regret Dynamics for Multi-agent Learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserAlexander Terenin (University of Cambridge).

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

ClockWednesday 12 April 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Scalable Approaches to Self-Supervised Learning using Spectral Analysis

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserRoss Viljoen and Vincent Dutordoir (University of Cambridge).

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

ClockWednesday 05 April 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Physics-informed machine learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserPingfang Song (University of Cambridge).

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

ClockWednesday 29 March 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Causal Machine Learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserWenlin Chen, Julien Horwood & Juyeon Heo (University of Cambridge).

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

ClockWednesday 22 March 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

User Manipulation in Recommender Systems

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders via lists.cam.ac.uk.

UserMicah Carroll (UC Berkeley).

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

ClockWednesday 15 March 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Random Features for Kernel Approximation

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserIsaac Reid (University of Cambridge).

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

ClockWednesday 08 March 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

An Overview of Differential Privacy, Membership Inference Attacks, and Federated Learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserAli Shahin Shamsabadi (Alan Turing Institute) and John Bronskill (University of Cambridge).

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

ClockWednesday 01 March 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Bayesian Neural Networks

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserJames Allingham, Javier Antorán, Vincent Fortuin (University of Cambridge).

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

ClockWednesday 22 February 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Offline Reinforcement Learning

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserMax Patacchiola (University of Cambridge), Stephen Chung (University of Cambridge), Adam Jelley (University of Edinburgh).

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

ClockWednesday 15 February 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

{PF}^2ES: Parallel Feasible Pareto Frontier Entropy Search for Multi-Objective Bayesian Optimization Under Unknown Constraints

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserJixiang Qing, SUMO lab, Ghent University,.

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

ClockWednesday 08 February 2023, 11:00-12:30

Machine Learning Reading Group @ CUED

Information Geometry — Natural Gradient Descent

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserAndy Lin, MLG.

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

ClockWednesday 23 November 2022, 11:00-12:30

Machine Learning @ CUED

Gaussian processes, spectral analysis kernels and optimal transport

UserFelipe Tobar, Universidad de Chile.

HouseCBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Predicting generalization of ML models.

Zoom link available upon request (it is sent out on our mailing list, eng-mlg-rcc [at] lists.cam.ac.uk). Sign up to our mailing list for easier reminders.

UserVihari Piratla and Shreyas Padhy.

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

ClockWednesday 16 November 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Benefits and Shortcomings of Assistance

UserDmitrii Krasheninnikov and Lauro Langosco, University of Cambridge.

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

ClockWednesday 22 June 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

The Bayesian Learning Rule for Adaptive AI

UserEmti Khan, RIKEN center for Advanced Intelligence Project.

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

ClockWednesday 16 March 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Introduction to differential privacy

UserTalay Cheema & Ferenc Huszar (University of Cambridge).

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

ClockWednesday 09 March 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Retrieval Augmented NLP

UserJiri Hron and Nitarshan Rajkumar (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

ClockWednesday 23 February 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Circuits and Interpretability

UserLauro Langosco, Elre Oldewage and Juyeon Heo(University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

ClockWednesday 16 February 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Optimal Transport Metrics

UserShreyas Padhy, University of Cambridge.

House Cambridge University Engineering Department ,LR3A.

ClockWednesday 09 February 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Learned Compression

UserGergely Flamich and Stratis Markou (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

ClockWednesday 02 February 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

Diffusion and Score-based Generative Models

UserVincent Dutordoir, Wenlin Chen, Tor Fjelde (University of Cambridge).

House Cambridge University Engineering Department, LR12.

ClockWednesday 19 January 2022, 11:00-12:30

Machine Learning Reading Group @ CUED

[Cancelled] Best of Neurips

UserSpeaker to be confirmed.

HouseOnline-only.

ClockWednesday 15 December 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Energy-Based Models

UserStratis Markou and James Allingham (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

ClockWednesday 01 December 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Deep Kernels

UserSebastian Ober and Austin Tripp (University of Cambridge).

House Cambridge University Engineering Department ,LR3A.

ClockWednesday 17 November 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Implicit Regularization in Deep Learning

User Jezabel Garcia, Alberto Bernacchia (MediaTek Research).

House Cambridge University Engineering Department ,LR3A.

ClockWednesday 27 October 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

An Introduction to PAC-Bayes

UserAndrew Foong, David Burt and Javier Antoran (University of Cambridge).

Househttps://eng-cam.zoom.us/j/82019956685?pwd=WUNSVVcrdC9IZGxQOHFhSThjUjd2dz09.

ClockWednesday 21 April 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Long-Range Transformers

UserValerii Likhosherstov, University of Cambridge.

Househttps://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

ClockWednesday 03 March 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Inference in Stochastic Processes

UserJavier Antoran (University of Cambridge), Matthew Ashman (University of Cambridge), Stratis Markou (University of Cambridge).

Househttps://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

ClockWednesday 24 February 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Fairness in AI

UserElre Oldewage (University of Cambridge).

Househttps://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

ClockWednesday 17 February 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Meta-reinforcement learning

UserKris Jensen and Calvin Kao (University of Cambridge).

Househttps://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

ClockWednesday 13 January 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Neural Processes

UserAndrew Foong, Stratis Markou and Sebastian Ober (University of Cambridge).

Househttps://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

ClockWednesday 02 December 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Large-scale sequential experimentation

UserWessel Bruinsma and Jiri Hron (University of Cambridge).

Househttps://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

ClockWednesday 25 November 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Symmetries in Reinforcement Learning

UserRobert Pinsler and Adria Garriga Alonso (University of Cambridge).

Househttps://eng-cam.zoom.us/j/86068703738?pwd=YnFleXFQOE1qR1h6Vmtwbno0LzFHdz09.

ClockWednesday 18 November 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Best Papers from ICML 2020

UserReading group participants.

Househttps://meet.google.com/wdk-qnzb-iet.

ClockWednesday 04 November 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Active Learning

UserAustin Tripp and Erik Daxberger (University of Cambridge).

Househttps://meet.google.com/xom-namz-rzv.

ClockWednesday 24 June 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Recent advances in the theory and applications of VAEs

UserGergely Flamich and Alexandru Cioba.

HouseVenue to be confirmed.

ClockWednesday 17 June 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Best of ICLR 2020

User (University of Cambridge).

Househttps://meet.google.com/eqr-irxn-irx.

ClockWednesday 06 May 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Differentiable Planning

UserWill Tebbutt, Robert Pinsler.

Househttps://meet.google.com/zza-agyt-koa.

ClockWednesday 29 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Strategic Classification

UserJiri Hron (University of Cambridge).

Househttps://meet.google.com/hmo-aaio-agh.

ClockWednesday 15 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Machine Learning on Sets

User (University of Cambridge).

Househttps://meet.google.com/qvg-knkr-nrg.

ClockWednesday 08 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

World Models

UserDr Gregor Simm (University of Cambridge).

HouseHangouts Meet (Link provided via e-mail).

ClockWednesday 18 March 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Federated Learning

UserSiddharth Swaroop (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 11 March 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Self-Supervised Representation Learning

UserJavier Antoran (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 26 February 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

UserElre Oldewage (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 19 February 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

UserAdria Garriga Alonso, Sebastian Ober.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 12 February 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Scalable Gaussian Processes

UserDavid Burt, Andrew Foong.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 04 December 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Probabilistic Programming

UserHong Ge and John Bronskill.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 27 November 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Neural Attention

UserElre Oldewage, George Hron.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 20 November 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Equivariance and Symmetries in CNNs

UserJames Allingham, Omer Sella.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 13 November 2019, 14:00-15:30

Machine Learning @ CUED

Models and inference for temporal Gaussian processes

UserWilliam Wilkinson, Aalto University, Finland.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Hyperparameter Optimisation

UserRoss Clarke, Erik Daxberger, Austin Tripp.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 06 November 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Meta-Learning or "Learning To Learn"

UserJohn Bronskill, Marton Havasi.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 30 October 2019, 14:00-15:30

Machine Learning @ CUED

Learning-Algorithms from Bayesian Principles

UserEmti Khan, RIKEN center for Advanced Intelligence Project.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Rotation Invariant Householder Parameterization for Bayesian PCA

UserRajbir Nirwan, Goethe University, Frankfurt.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

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

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

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Efficiency and Transferability of Neural Networks

UserAmos Storkey, School of Informatics, University of Edinburgh.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Particle MCMC

UserWill Tebbutt (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 15 May 2019, 14:00-15:30

Machine Learning @ CUED

NeVAE: A Deep Generative Model for Molecular Graphs

UserAbir De, Max Planck Institute for Software Systems.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Sampling as Optimization

UserEric Nalisnick, University of Cambridge.

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 03 April 2019, 13:45-15:15

Machine Learning Reading Group @ CUED

Implicit Variational Inference

UserAndrew Foong (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 13 March 2019, 13:45-15:15

Machine Learning Reading Group @ CUED

Causal Inference and Causal Reinforcement Learning

UserChaochao Lu (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

ClockWednesday 27 February 2019, 13:45-15:15

Machine Learning @ CUED

Online Meta-Learning

UserMassimiliano Pontil, University College London.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Logical Uncertainty

UserAdrià Garriga Alonso (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockWednesday 13 February 2019, 13:45-15:15

Machine Learning Reading Group @ CUED

Stein Discrepancy

UserSebastian Ober (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockMonday 28 January 2019, 14:00-15:30

Machine Learning Reading Group @ CUED

Neural Ordinary Differential Equations

UserEric T Nalisnick (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockWednesday 28 November 2018, 14:00-15:30

Machine Learning Reading Group @ CUED

Natural gradient in deep neural networks

UserAlberto Bernacchia (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockWednesday 21 November 2018, 14:00-15:30

Machine Learning Reading Group @ CUED

Graph Neural Networks

UserMatej Balog (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockWednesday 14 November 2018, 14:00-15:30

Machine Learning Reading Group @ CUED

Defending Against Adversarial Attacks

UserRoss Clarke (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockWednesday 07 November 2018, 14:00-15:30

Machine Learning @ CUED

Fast yet Simple Natural-Gradient Variational Inference in Complex Models

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

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

UserAna Stoica, Columbia University.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Algorithmic Glass Ceiling in Social Networks

UserAna Stoica, Columbia University.

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Neural Networks and Natural Language Processing

UserMatej Balog (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 08 March 2018, 13:30-15:00

Machine Learning Reading Group @ CUED

Information Theory, Codes, and Compression

UserChristian Steinruecken (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 01 March 2018, 13:30-15:00

Machine Learning @ CUED

Lipschitz Global Optimization

UserProfessor Yaroslav D Sergeyev, Universita della Calabria.

HouseCBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Deep Generative Models

UserJonathan Gordon; Alexander Matthews.

HouseEngineering Department, CBL Seminar Room 4-38.

ClockThursday 01 February 2018, 13:30-15:00

Machine Learning Reading Group @ CUED

Minimum Description Length

UserCarl E. Rasmussen; Niki Kilbertus.

HouseEngineering Department, CBL Seminar Room 4-38.

ClockThursday 25 January 2018, 13:30-15:00

Machine Learning Reading Group @ CUED

NIPS 2017 Highlights

UserSpeaker to be confirmed.

HouseEngineering Department, CBL Seminar Room 4-38.

ClockThursday 14 December 2017, 13:30-15:00

Machine Learning @ CUED

Bayesian Generative Adversarial Networks

UserProfessor Andrew Wilson, Cornell University.

HouseCBL Seminar Room.

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

Machine Learning @ CUED

AI for Inclusive Finance

UserAlan Qi and Le Song.

HouseCBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Learning to Learn

UserSiddharth Swaroop; Will Tebbutt.

HouseEngineering Department, CBL Seminar Room 4-38.

ClockThursday 23 November 2017, 13:30-15:00

Machine Learning @ CUED

Towards true end-to-end learning & optimization

UserDr Frank Hutter.

HouseCBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Interpretability in Machine Learning

UserAdrian Weller; Tameem Adel Hesham.

HouseEngineering Department, CBL Seminar Room 4-38.

ClockThursday 09 November 2017, 13:30-15:00

Machine Learning Reading Group @ CUED

Cooperative Inverse RL

UserRobert Pinsler; Adria Garriga Alonso.

HouseEngineering Department, CBL Seminar Room 4-38.

ClockThursday 26 October 2017, 13:30-15:00

Machine Learning Reading Group @ CUED

Infer.NET

UserJohn F. Bronskill.

HouseEngineering Department, CBL Seminar Room 4-38.

ClockThursday 19 October 2017, 13:30-15:00

Machine Learning @ CUED

Transfer Learning for NLP

UserSebastian Ruder, INSIGHT Centre.

HouseJDB Seminar Room, CUED.

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

Machine Learning @ CUED

Deep learning for autonomous driving

UserTakayoshi Yamashita (Chubu University) .

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

UserJiri Hron; Adam Scibior.

HouseEngineering Department, CBL Room 438.

ClockThursday 16 March 2017, 13:30-15:00

Machine Learning @ CUED

Differentially Private Bayesian Learning

UserDr Antti Honkela, University of Helsinki.

HouseCBL Room BE-438, Department of Engineering.

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

Computational and Biological Learning Seminar Series

Control, inference and learning

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

HouseEngineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Differential Privacy

UserJohn Bradshaw; Alex Matthews.

HouseEngineering Department, CBL Room 438.

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

Machine Learning @ CUED

Differential Privacy Tutorial

UserAlex Matthews and John Bradshaw, University of Cambridge.

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Cooperative Inverse Reinforcement Learning

UserDylan Hadfield-Menell, UC Berkeley.

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning Reading Group @ CUED

Probabilistic Numerics

UserAlessandro Davide Ialongo (MLG - University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 16 February 2017, 13:30-15:00

Machine Learning Study Group

Deep Learning Book - Meeting 3 - Optimization

UserGroup Discussion.

HouseCBL Room BE-438.

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

Machine Learning Study Group

Deep Learning Book - Meeting 2 - Regularization

UserGroup Discussion.

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Variational Bayes In Private Settings

UserMijung Park, University of Amsterdam.

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Julia: Introduction and new developments

UserDr Simon Byrne (Julia Computing).

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning @ CUED

Variational autoencoders with latent graphical models

UserProf David Duvenaud (University of Toronto).

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning Reading Group @ CUED

Symmetry in Statistical Models

UserMark Rowland; Maria Lomeli.

HouseEngineering Department, CBL Room 438.

ClockThursday 01 December 2016, 13:30-15:00

Machine Learning @ CUED

Learning with limited supervision

UserStefano Ermon, Stanford.

HouseCBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Bayesian Optimization

UserPawel Budzianowiski; Brian Trippe.

HouseEngineering Department, CBL Room 438.

ClockThursday 24 November 2016, 13:30-15:00

Machine Learning @ CUED

Rejection Sampling Variational Inference

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

HouseCBL Room BE-438.

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

Machine Learning Reading Group @ CUED

deep generative models

UserDave Janz; James Requeima.

HouseEngineering Department, CBL Room 438.

ClockThursday 17 November 2016, 13:30-15:00

Machine Learning @ CUED

Probabilistic Numerical Computation: A New Concept?

UserProf. Mark Girolami (University of Warwick).

HouseCBL Room BE-438, Department of Engineering.

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

Machine Learning Reading Group @ CUED

A crash-course on Bayesian Reinforcement Learning

UserAlexandre Khae Wu Navarro (University of Cambridge); Amar Shah.

HouseEngineering Department, CBL Room 438.

ClockThursday 03 November 2016, 13:30-15:00

Machine Learning @ CUED

Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models

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

HouseCBL Room BE-438.

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

Machine Learning @ CUED

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

UserDushyant Rao, Oxford Robotics Institute.

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Probabilistic modeling for position and orientation estimation using inertial sensors

UserManon Kok, Department of Electrical Engineering, Linköping University.

HouseCBL Room BE-438.

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

Machine Learning @ CUED

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

UserProfessor Francis Bach (INRIA, ENS).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Multiresolution Matrix Factorization

UserProf Risi Kondor (U Chicago).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Dynamic Models for Health Data

UserProfessor Katherine A Heller (Duke University).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Learning with Memory Embeddings

UserProfessor Volker Tresp (Ludwig Maximilian University of Munich).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Inference as Learning

UserGeorge Papamakarios (University of Edinburgh).

HouseCBL Room BE-438.

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

Machine Learning @ CUED

Learning Task Relations in Multi-Task Learning

Via Skype

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Partially Observable Markov Decision Processes (POMDPs)

UserRowan McAllister (University of Cambridge), Alex Navarro.

HouseEngineering Department, CBL Room 438.

ClockThursday 02 June 2016, 14:30-16:00

Machine Learning @ CUED

Variational inference for scalable Gaussian process approximations

UserAlexander Matthews (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Topics in Expectation Propagation

UserYingzhen Li (University of Cambridge), Rich Turner.

HouseEngineering Department, CBL Room 438.

ClockThursday 28 April 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Deep Q-Learning and AlphaGo

UserShixiang Gu (University of Cambridge); Amar Shah.

HouseEngineering Department, CBL Room 438.

ClockThursday 21 April 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Variational Methods and Compressed Sensing

UserNilesh Tripuraneni (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 07 April 2016, 14:30-16:00

Machine Learning @ CUED

Unsupervised Risk Estimation with only Structural Assumptions

UserJacob Steinhardt (Stanford University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

The geometry of uncertainty

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

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

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

Machine Learning Reading Group @ CUED

Probabilistic programming

UserHong Ge (University of Cambridge); Matej Balog.

HouseEngineering Department, CBL Room 438.

ClockThursday 03 March 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Learning by learning rich generative models

UserThang Bui (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 25 February 2016, 14:30-16:00

Machine Learning @ CUED

A more Automated Statistician

UserDavid Janz, Oxford University.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Differentiable Data Structures and (if we have time) POMDPs

NOTE Topic Change

UserYarin Gal; Rowan McAllister (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 11 February 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Deep learning for time series

UserChristof Angermueller(University of Cambridge); David Zoltowski (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 21 January 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Stochastic discrete integration

UserAdrian Weller;Nilesh Tripuraneni (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 14 January 2016, 14:30-16:00

Machine Learning @ CUED

General Reinforcement Learning

UserJan Leike (Australian National University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Stochastic optimization and adaptive learning rates

UserYingzhen Li (University of Cambridge); Mark Rowland.

HouseEngineering Department, CBL Room 438.

ClockThursday 26 November 2015, 14:30-16:00

Machine Learning Reading Group @ CUED

Logic, Theorem Proving, and Probabilistic Programming

UserChristian Steinruecken (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 19 November 2015, 14:30-16:00

Machine Learning Reading Group @ CUED

Connections between kernels, GPs, and NNs

UserMatthias Bauer (University of Cambridge); Paul Rubenstein.

HouseEngineering Department, CBL Room 438.

ClockThursday 12 November 2015, 14:30-16:00

Machine Learning @ CUED

Inference of a partially observed kinetic Ising model

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Bayesian optimization and its applications

UserDr. Matthew Hoffman (University of Cambridge), Alex Navarro.

HouseEngineering Department, CBL Room 438.

ClockThursday 29 October 2015, 14:30-16:00

Machine Learning Reading Group @ CUED

LP relaxations for MAP inference

UserAdrian Weller (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 22 October 2015, 14:30-16:00

Machine Learning @ CUED

Meta-Bayesian Analysis

UserProf. Daniel Roy (University of Toronto).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

UserFrancesco Paolo Casale, European Bioinformatics Institute.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Higher Order Fused Regularization for Supervised Learning with Grouped Parameters

UserKoh Takeuchi (NTT Communication Science Laboratories).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

A-Star Sampling Review

UserChris Maddison (U Toronto).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Convex Factorization Machines

UserMathieu Blondel (NTT Communication Science Laboratorie).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Belief and Truth in Hypothesised Behaviours

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Information-Theoretic Bounded Rationality

UserPedro A. Ortega (University of Pennsylvania).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

The limits of MAP inference by MWSS on perfect graphs

UserDr Adrian Weller (MLG, University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Scalable Gaussian Processes for Scientific Discovery

UserDr Andrew Wilson, Carnegie Mellon University.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

(via Skype!)

UserAlex Shestopaloff (University of Toronto).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Rich Component Analysis

UserJames Zou (Microsoft Research New England).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Modeling Confounding by Half-Sibling Regression

SHORT TALK (20 minutes)

UserProf Bernhard Schölkopf (MPI Tuebingen).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Convex and non-convex worlds in machine learning

UserAnna Choromanska (New York University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Random Function Classes for Machine Learning

UserProf Alexander Smola, Carnegie Mellon University.

HouseCambridge University Engineering Department, LT1.

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

Machine Learning @ CUED

Deep Learning

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

House Cambridge University Engineering Department, Lecture Theatre 0.

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

Machine Learning @ CUED

Do Deep Nets Really Need to be Deep?

UserDr Rich Caruana (Microsoft).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Convolutional Neural Networks

UserChristof Angermueller, Alex Kendall.

HouseEngineering Department, CBL Room 438.

ClockThursday 21 May 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Scalable MCMC

UserHong Ge, Jes Frellsen.

HouseEngineering Department, CBL Room 438.

ClockThursday 07 May 2015, 15:00-16:30

Machine Learning @ CUED

Direction-Only Optimisation for Neural Networks

Short talk

UserMark Rowland (Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Causal Inference

UserMateo Rojas-Carulla, Amar Shah.

HouseEngineering Department, CBL Room 438.

ClockThursday 23 April 2015, 15:00-16:30

Machine Learning @ CUED

Title to be confirmed

UserTuan Anh Le (Oxford).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Gaussian Process Models for Time Series

UserRoger Frigola, Carl Edward Rasmussen.

HouseEngineering Department, CBL Room 438.

ClockThursday 16 April 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Informational Geometry

UserNilesh Tripuraneni, Shane Gu.

HouseEngineering Department, CBL Room 438.

ClockThursday 02 April 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Deep Gaussian Processes

UserRichard Turner, Alex Navarro, Thang Bui.

HouseEngineering Department, CBL Room 438.

ClockThursday 26 March 2015, 15:00-16:30

Machine Learning @ CUED

Population Inference for Functional Brain Connectivity

UserGenevera I. Allen (Rice University).

HouseEngineering Department, CBL Room BE-438.

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

Microsoft Research Machine Learning and Perception Seminars

Workshop: Machine Learning in Cambridge 2015

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

UserSebastian Nowozin, Microsoft Research Cambridge.

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

ClockTuesday 03 March 2015, 09:00-18:00

Machine Learning @ CUED

Probabilistic approaches to understanding bird conversations

UserDan Stowell (Queen Mary University of London).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

A* Sampling

UserChris Maddison (U Toronto).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Orthologous networks in biological systems

UserDr Christopher Penfold (Warwick).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Transfer Learning

UserYingzhen Li; Eddy Pei-Hao Su.

HouseEngineering Department, CBL Room 438.

ClockThursday 29 January 2015, 15:00-16:30

Machine Learning @ CUED

Latent Branching Trees

UserDr Theodore Kypraios (University of Nottingham).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Experiments with Non-parametric Topic Models

UserProf. Wray Buntine (Monash University).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Advanced HMC

UserNilesh Tripuraneni; Adam Scibior.

HouseEngineering Department, CBL Room 438.

ClockThursday 22 January 2015, 15:00-16:30

Machine Learning Reading Group @ CUED

Active Learning

UserAdrian Weller; Mateo Rojas Carulla.

HouseEngineering Department, CBL Room 438.

ClockThursday 15 January 2015, 15:00-16:30

Machine Learning @ CUED

Machine Translation with LSTMs

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

UserIlya Sutskever (Google).

HouseEngineering Department, LR3B.

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

Machine Learning Reading Group @ CUED

PAC Bayes

UserAlex Matthews; Nikola Mrksic.

HouseEngineering Department, CBL Room 438.

ClockThursday 27 November 2014, 15:00-16:30

Machine Learning @ CUED

Oracle Variational Inference

UserJames McInerney (Columbia University).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

LSTM and Recurrent Neural Networks

UserShixiang Gu; Andrey Malinin.

HouseEngineering Department, CBL Room 438.

ClockThursday 20 November 2014, 15:00-16:30

Machine Learning @ CUED

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

short talk

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

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Automatic Differentiation with Theano

UserYarin Gal; Christof Angermueller.

HouseEngineering Department, CBL Room 438.

ClockThursday 13 November 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Kernel Embedding for Distributions

UserMark van der Wilk; Felipe Tobar.

HouseEngineering Department, CBL Room 438.

ClockThursday 30 October 2014, 15:00-16:30

Machine Learning @ CUED

A Tutorial on Probabilistic Programming

UserProf. Frank Wood (Oxford).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

New Methods in Bayesian Optimization for Machine Learning

UserJasper Snoek (Harvard University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

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

UserMaria Lomeli-Garcia (Gatsby Unit, UCL).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

UserManik Varma (Microsoft Research India).

HouseEngineering Department, CBL Room BE-438.

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

Microsoft Research Machine Learning and Perception Seminars

Local Deep Kernel Learning for Efficient Non-linear SVM Prediction

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

UserManik Varma (Microsoft Research India).

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

ClockMonday 15 September 2014, 11:00-12:00

Machine Learning @ CUED

Probabilistic Numerics - a snapshot of an emerging community

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

On the Bethe approximation

UserAdrian Weller (Columbia University).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Gaussian process regression on graphs

UserPeter Sollich (King's College London).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Implicit Representation Networks

UserDavid Barber (University College London).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning @ CUED

Scalable Deep Gaussian Processes

UserJames Hensman (University of Sheffield).

HouseEngineering Department, CBL Room BE-438..

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

Machine Learning Reading Group @ CUED

Unsupervised Representation Learning

UserAmar Shah (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 12 June 2014, 15:00-16:30

Machine Learning @ CUED

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

NOTE THE SPECIAL VENUE (Microsoft Research)

UserProfessor Stuart Russell (UC Berkeley).

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

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

Machine Learning @ CUED

Practical Machine Learning at Facebook. Examples and Lessons Learnt.

Room changed to LR4

UserJoaquin Quinonero Candela (Facebook).

HouseEngineering Department - ***LR4***.

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

Machine Learning Reading Group @ CUED

Statistical model criticism

UserJames Lloyd (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 15 May 2014, 15:00-16:30

Machine Learning Seminar Series @ CUED

Density Estimation in Infinite Dimensional Exponential Families

This talk has been canceled/deleted

UserBharath Sriperumbudur (University of Cambridge).

HouseEngineering Department, CBL Room BE-438..

ClockWednesday 14 May 2014, 11:00-12:00

Machine Learning @ CUED

Density Estimation in Infinite Dimensional Exponential Families

UserBharath Sriperumbudur (University of Cambridge).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Functional Programming

UserChristian Steinruecken (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 01 May 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Neural Network Language Modelling

UserChunyang Wu (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 10 April 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Loopy belief propagation

UserAlexander Matthews (University of Cambridge), Yingzhen Li.

HouseEngineering Department, CBL Room 438.

ClockThursday 03 April 2014, 15:00-16:30

Machine Learning @ CUED

Policy Evaluation with Temporal Differences

UserChristoph Dann (Technische Universität Darmstadt).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Matrix Means, Distances, Kernels, and Geometric Optimization

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Parameter estimation in deep learning architectures: Two new insights.

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

UserProf. Nando de Freitas (Oxford).

House Cambridge University Engineering Department, LR6.

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

Machine Learning @ CUED

Bayesian canonical correlation analysis

UserSeppo Virtanen (Aalto University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Cambridge - Tuebingen PhD Applicant Talks (via Skype)

Interview talks via Skype

UserSpeaker to be confirmed.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Particle filters and curse of dimensionality

Note: TALK via Skype!

UserPatrick Rebeschini (Princeton).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Bayesian nonparametrics: Dependency and Constraint Modeling

Note: TALK via Skype!

UserChangyou Chen (ANU).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Bayesian Nonparametric Model for Power Disaggregation

UserIsabel Valera (University Carlos III in Madrid).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

An introduction to Sequential Monte Carlo

UserThang Bui (University of Cambridge), Jes Frellsen.

HouseEngineering Department, CBL Room 438.

ClockThursday 06 February 2014, 15:00-16:30

Machine Learning @ CUED

Frequentist coverage of adaptive nonparametric Bayesian credible sets

UserBotond Szabo (Eindhoven University of Technology).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Probabilistic Data Structures and Algorithms

UserChristian Steinruecken (University of Cambridge), Alexandre Khae Wu Navarro (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 23 January 2014, 15:00-16:30

Machine Learning Reading Group @ CUED

Information Theory and Method of Types: Channels, Quantizers, and Divergences

UserAntonio Artés-Rodríguez (University of Cambridge), Yingzhen Li.

HouseEngineering Department, CBL Room 438.

ClockThursday 16 January 2014, 15:00-16:30

Machine Learning @ CUED

Anglican; Particle MCMC inference for Probabilistic Programs

UserJan-Willem van de Meent (Columbia University).

HouseEngineering Department, CBL Room BE-438.

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

Microsoft Research Machine Learning and Perception Seminars

Bayesian Machine Learning for Controlling Autonomous Systems

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

UserMarc Deisenroth, Imperial College.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

ClockTuesday 17 December 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Integrated Nested Laplace Approximation (INLA)

UserSara Wade (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 28 November 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Spectral Learning

User Maxim Rabinovich, Aman Sinha.

HouseEngineering Department, CBL Room 438.

ClockThursday 14 November 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Random Projections

UserDavid Lopez-Paz, David Duvenaud.

HouseEngineering Department, CBL Room 438.

ClockThursday 07 November 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Bayesian and Bandit Optimization

UserDr. Matthew Hoffman (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 24 October 2013, 15:00-16:30

Machine Learning @ CUED

Dissecting genotype to phenotype relationships

UserOliver Stegle (EMBL-European Bioinformatics Institute).

HouseEngineering Department, CBL Room BE-438.

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

Microsoft Research Machine Learning and Perception Seminars

Compositionality in Vision and Language

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

UserSiddharth Narayanaswamy, Purdue University.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

ClockMonday 07 October 2013, 14:00-15:00

Machine Learning @ CUED

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

CANCELLED

UserManik Varma (Microsoft Research India).

HouseEngineering Department, CBL Room BE-438.

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

Microsoft Research Machine Learning and Perception Seminars

Foundations of Neuromechanical Systems Biology: Combining engineering, biology, and mathematics to understand how we move

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

UserDr Andrew Spence, The Royal Veterinary College.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

ClockFriday 06 September 2013, 10:00-11:00

Microsoft Research Machine Learning and Perception Seminars

Strategies for General Recognition

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

UserDerek Hoiem, University of Illinois at Urbana-Champaign.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

ClockTuesday 20 August 2013, 13:30-14:30

Microsoft Research Machine Learning and Perception Seminars

The cost of principles

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

UserAbigail See , Research Intern, Microsoft Research Cambridge ,UK.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

ClockWednesday 14 August 2013, 14:00-15:00

Machine Learning @ CUED

Higher Order Learning for Classification in Emergency Situations

UserHannah Pauline Keiler (Columbia University and DIMACS).

HouseEngineering Department, CBL Room BE-438.

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

Microsoft Research Machine Learning and Perception Seminars

Lifts of Convex Sets and Cone Factorizations

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

UserRekha R. Thomas, University of Washington, Seattle.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

ClockFriday 02 August 2013, 15:00-16:00

Microsoft Research Machine Learning and Perception Seminars

Efficient Multi-dimensional Parametric Mincuts for Constrained MAP 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

UserKyomin Jung, KAIST.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

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

NLIP Seminar Series

Recursive Deep Learning for Modeling Semantic Compositionality

UserRichard Socher - Stanford University.

HouseFW26, Computer Laboratory.

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

Microsoft Research Machine Learning and Perception Seminars

Noise estimation by PDE-constrained optimisation

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

UserSchönlieb Carola-Bibiane, Cambridge University.

HouseMicrosoft Research Ltd, 21 Station Road, Cambridge, CB1 2FB.

ClockTuesday 16 July 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Random Forests: One tool for all your problems.

UserNovi Quadrianto (University of Cambridge); Neil Houlsby (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 04 July 2013, 15:00-16:30

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning @ CUED

Applied statistical genetics and next-generation association studies

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Modelling Nonlinear Dynamical Systems

UserYue Wu (University of Cambridge) and Andrew McHutchon (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 06 June 2013, 15:00-16:30

Machine Learning @ CUED

Deep Gaussian Processes

UserProf. Neil Lawrence (Sheffield).

HouseEngineering Department, CBL Room BE-438.

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

Microsoft Research Machine Learning and Perception Seminars

Building Better Questionnaires with Probabilistic Modelling

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

UserRicardo Silva, UCL.

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

ClockTuesday 30 April 2013, 14:00-15:00

Machine Learning @ CUED

Approaches to statistical modeling of network data

UserMaxim Nazarov (Bocconi University).

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Sparsity: Beyond L1

UserAmar Shah (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 18 April 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Reproducing Kernel Hilbert Spaces in Non-parametric Statistics

UserBharath Sriperumbudur (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 11 April 2013, 15:00-16:30

Machine Learning @ CUED

Non-parametric Bayesian Chromatin State Segmentation

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

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

An Introduction to Sum Product Networks

UserJosé Miguel Hernández Lobato (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 28 March 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

Austerity in MCM - Land : Cutting the computational Budget

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

UserMax Welling, University of Amsterdam.

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

ClockWednesday 27 March 2013, 14:00-15:00

Microsoft Research Machine Learning and Perception Seminars

Fast Variational Inference in the Conjugate Exponential Family

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

UserJames Hensman, University of Sheffield.

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

ClockTuesday 26 March 2013, 14:00-15:00

Machine Learning @ CUED

Fast Variational Inference in the Conjugate Exponential Family

UserJames Hensman, The Sheffield Institute for Translational Neuroscience.

HouseEngineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Bayesian Reinforcement Learning

UserRowan McAllister & Karolina Dziugaite.

HouseEngineering Department, CBL Room 438.

ClockThursday 21 March 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

Semantics\sqcap Scalability\models\bot? Are Semantics and Scalability Incompatible?

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

UserIan Horrocks, University of Oxford.

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

ClockTuesday 19 March 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Probabilistic Programming

UserJames Lloyd (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 14 March 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

Warped Mixture Models for Meaningful Clustering and Bayesian Manifold Learning

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

UserDavid Duvenaud, University of Cambridge.

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

ClockMonday 11 March 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

Fragmentation Coagulation

UserHong Ge (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 28 February 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Conditional Density Estimation

UserSara Wade ( Bocconi University).

HouseEngineering Department, CBL Room 438.

ClockThursday 21 February 2013, 15:00-16:30

Microsoft Research Machine Learning and Perception Seminars

New probabilistic methods for inference of natural selection on regulatory sequences in the human genome

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

UserAdam Siepel, Cornell University.

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

ClockTuesday 19 February 2013, 14:00-15:00

Microsoft Research Machine Learning and Perception Seminars

Daniel’s Adventures in Computer Vision Land

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

UserDaniel Freedman, Microsoft Research – Advanced Technology Labs Israel.

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

ClockMonday 18 February 2013, 14:00-15:00

Machine Learning Reading Group @ CUED

RCC Planning

UserColorado Reed (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 07 February 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Discrete Optimization

UserColorado Reed (University of Cambridge).

HouseEngineering Department, CBL Room 438.

ClockThursday 31 January 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

Advanced Sampling

UserChristian Steinruecken (University of Cambridge); Dr Tomoharu Iwata (NTT).

HouseEngineering Department, CBL Room 438.

ClockThursday 24 January 2013, 15:00-16:30

Machine Learning Reading Group @ CUED

NIPS Recap

UserSpeaker to be confirmed.

HouseEngineering Department, CBL Room 438.

ClockThursday 17 January 2013, 14:30-16:00

Machine Learning Reading Group @ CUED

NIPS Recap

UserSpeaker to be confirmed.

HouseEngineering Department, CBL Room 438.

ClockThursday 06 December 2012, 14:30-16:00

Microsoft Research Machine Learning and Perception Seminars

From motion capture of interacting hands to video based rendering.

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

UserLuca Ballan, Institute of Visual Computing in ETH Zurich.

HouseSmall public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

ClockTuesday 04 December 2012, 14:00-15:00

Machine Learning Reading Group @ CUED

Bayesian and Gradient Reinforcement Learning

UserYanyue (University of Cambridge); Emil Hewage (CBL, University of Cambridge); .

HouseEngineering Department, CBL Room 438.

ClockThursday 29 November 2012, 14:30-16:00

Microsoft Research Machine Learning and Perception Seminars

Spectral Edge: Making the Invisible Visible

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

UserGraham Finlayson, UEA.

HouseSmall public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

ClockTuesday 27 November 2012, 14:30-15:30

Machine Learning Reading Group @ CUED

Spectral Clustering

UserMr Roger Grosse (MIT); Alex Matthews.

HouseEngineering Department, CBL Room 438.

ClockThursday 22 November 2012, 14:30-16:00

Machine Learning Reading Group @ CUED

Modern Neural Networks: the Hinton Camp

UserRichard Turner, Mark van der Wilk.

HouseEngineering Department, CBL Room 438.

ClockThursday 15 November 2012, 14:30-16:00

Machine Learning Reading Group @ CUED

Distributional compositional models of semantics

UserStephen Clark (Computer Laboratory).

HouseEngineering Department, CBL Room 438.

ClockThursday 08 November 2012, 13:30-15:00

Microsoft Research Machine Learning and Perception Seminars

Towards ad hoc interactions with robots

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

UserSubramanian Ramamoorthy, University of Edinburgh.

HouseSmall public lecture room, Microsoft Research Ltd, 7 J J Thomson Avenue (Off Madingley Road), Cambridge.

ClockTuesday 23 October 2012, 14:00-15:00

Machine Learning @ CUED

Probabilistic methods for biomolecular structure simulations

UserJes Frellsen (University of Copenhagen).

HouseEngineering Department, CBL Room BE-438.

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

Please see above for contact details for this list.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity