Machine Learning Reading Group @ CUED

Towards Neuro-Causality: Relating Graph Neural Networks to Structural Causal Models

Matej Zecevic, TU Darmstadt.

https://cuhk-edu-cn.zoom.us/j/91529611509?pwd=WFBqeFdVc3J1cE9rV2NaMXJtM2RQQT09.

Friday 24 September 2021, 14:00-15:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk - Task-specific routing of information in neural circuits via structured noise by Cristina Savin

Cristina Savin, New York University.

https://eng-cam.zoom.us/j/85184505624?pwd=WnhWZWR1SjhxUXFDOWtPT2c2cG90Zz09.

Friday 09 July 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Nonlinear filtering as a unifying principle in neuroscience by Jean-Pascal Pfister

Jean-Pascal Pfister, University of Zurich and ETH Zurich.

https://eng-cam.zoom.us/j/84626937837?pwd=RC95RTdybkRlNHhOcThjclQzYUxkdz09.

Friday 02 July 2021, 16:00-17:00

NLIP Seminar Series

NMT Analysis: The Trade-Off Between Source and Target, and (a Bit of) the Training Process

Elena Voita (University of Edinburgh).

Virtual (Zoom).

Friday 18 June 2021, 12:00-13:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Finale Doshi-Velez

Finale Doshi-Velez, Harvard University.

https://eng-cam.zoom.us/j/89542469691?pwd=bVJjdXJGd3BkaDk1SHk3a1dLZzlZUT09.

Friday 11 June 2021, 16:00-17:00

NLIP Seminar Series

Challenges in evaluating natural language generation systems

Note unusual time

Mohit Iyyer (University of Massachusetts Amherst).

Virtual (Zoom).

Friday 11 June 2021, 13:00-14:00

Language Technology Lab Seminars

Towards Knowledge-Robust and Multimodally-Grounded NLP

Mohit Bansal, UNC Chapel Hill.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 10 June 2021, 17:00-18:00

Machine Learning Reading Group @ CUED

Pseudo-Points and State-Space Gaussian Processes

Will Tebbutt (University of Cambridge).

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

Wednesday 09 June 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Latent Stochastic Differential Equations: An Unexplored Model Class.

David Duvenaud, University of Toronto.

https://eng-cam.zoom.us/j/84495932262?pwd=MlFJL3Z3c1JmenFOY2xJQTNPSzdsQT09.

Friday 04 June 2021, 16:00-17:00

NLIP Seminar Series

Beyond Facts: The Problem of Framing in Assessing What is True

Note unusual time

Philip Resnik (University of Maryland).

Virtual (Zoom).

Friday 04 June 2021, 14:00-15:00

Machine Learning Reading Group @ CUED

The Statistical Finite Element Method

Mark Girolami (University of Cambridge).

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

Wednesday 02 June 2021, 11:00-12:30

NLIP Seminar Series

Interpretability in NLP: Moving Beyond Vision

Note unusual time

Shuoyang Ding (Johns Hopkins University).

Virtual (Zoom).

Friday 28 May 2021, 13:00-14:00

Language Technology Lab Seminars

Learning across Adverse Conditions in Natural Language Processing

Barbara Plank, IT University of Copenhagen.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 27 May 2021, 11:00-12:00

NLIP Seminar Series

Typological Feature Prediction and Blinding for Cross-Lingual NLP

Johannes Bjerva (Aalborg University).

Virtual (Zoom).

Friday 21 May 2021, 12:00-13:00

Language Technology Lab Seminars

Training for Deployment: Methods for Small and Efficient NLP

Alexander Rush, Cornell Tech.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 20 May 2021, 15:00-16:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk - Our Power as Technical Designers

Shakir Mohamed, Deepmind.

https://eng-cam.zoom.us/j/84960287802?pwd=N1pTZGpKMjhhMTVVV1RNSS9Gc3Jqdz09.

Friday 14 May 2021, 16:00-17:00

NLIP Seminar Series

Incorporating Structure into NLP Models with Graph Neural Networks

Michael Schlichtkrull (University of Cambridge).

Virtual (Zoom).

Friday 14 May 2021, 12:00-13:00

Language Technology Lab Seminars

NLP beyond English and mBERT's 100 languages

Antonios Anastasopoulos, George Mason University.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 13 May 2021, 15:00-16:00

Machine Learning Reading Group @ CUED

Best of ICLR

Speaker to be confirmed.

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

Wednesday 12 May 2021, 11:00-12:30

NLIP Seminar Series

Adaptation and Control in Enterprise Language Technology

Ryan McDonald (ASAPP).

Virtual (Zoom).

Friday 07 May 2021, 12:00-13:30

Language Technology Lab Seminars

CausaLM: Causal Model Explanation Through Counterfactual Language Models

Amir Feder, Technion - Israel Institute of Technology.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 06 May 2021, 11:00-12:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Accurate Gaussian Processes and how they can help Deep Learning

Mark van der Wilk, Imperial College London.

https://eng-cam.zoom.us/j/82969702755?pwd=L0dIVnlwSHJHV2NGbUQ1cmxpYjIyUT09.

Friday 30 April 2021, 16:00-17:00

NLIP Seminar Series

Cross domain similarities and intra-person changes

Maria Liakata (University of Warwick).

Virtual (Zoom).

Friday 30 April 2021, 12:00-13:00

Language Technology Lab Seminars

Domain Adaptation in NLP - Towards Adaptation to Any Domain

Eyal Ben-David, Technion - Israel Institute of Technology.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 29 April 2021, 11:00-12:00

Language Technology Lab Seminars

Transcending Dependencies

Martha Palmer, University of Colorado.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 22 April 2021, 17:00-18:00

Machine Learning Reading Group @ CUED

An Introduction to PAC-Bayes

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

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

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

Machine Learning Reading Group @ CUED

Automated Augmented Conjugate Inference for Gaussian Processes

Théo Galy-Fajou (TU Berlin).

https://eng-cam.zoom.us/j/81961210430?pwd=cUZGbzU4NzJickd5THlsYzJ4cmlndz09.

Tuesday 20 April 2021, 14:00-15:00

Machine Learning Reading Group @ CUED

CBL Alumni Talk: Examining Critiques in Bayesian Deep Learning

Andrew Gordon Wilson.

https://eng-cam.zoom.us/j/82969702755?pwd=L0dIVnlwSHJHV2NGbUQ1cmxpYjIyUT09.

Friday 16 April 2021, 16:00-17:00

Machine Learning Reading Group @ CUED

Online Learning and Online Convex Optimisation

Siddharth Swaroop (University of Cambridge).

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

Wednesday 14 April 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Monte Carlo Gradient Estimation in Machine Learning

James Allingham (University of Cambridge).

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

Wednesday 07 April 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Secondmind's research activities to make Gaussian Processes industry proof

Nicolas Durrande, Director of Research at Secondmind.

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

Wednesday 31 March 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks

Yaniv Yacoby, Harvard University.

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

Wednesday 24 March 2021, 11:00-12:30

NLIP Seminar Series

Title TBD

Ryan McDonald (Google).

Virtual (Zoom).

Friday 19 March 2021, 12:00-13:00

Language Technology Lab Seminars

Learning language by observing the world and learning about the world from language

Aida Nematzadeh, DeepMind.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 18 March 2021, 11:00-12:00

Machine Learning Reading Group @ CUED

Gaussian Processes I have Known

Anthony O'Hagan, University of Sheffield.

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

Wednesday 17 March 2021, 11:00-12:30

NLIP Seminar Series

🎈🎈🎈🥳 NLP Social Hour 🥳🎈🎈🎈

-.

Virtual (Zoom).

Friday 12 March 2021, 12:00-13:00

NLIP Seminar Series

Representation Learning for Text Retrieval: Learning and Pretraining Strategies for Dense Retrieval

Unusual date and time

Chenyan Xiong (Microsoft Research).

Virtual (Zoom).

Thursday 11 March 2021, 16:00-17:00

NLIP Seminar Series

Title TBD

Note unusual time

Chenyan Xiong (Microsoft Research AI).

Virtual (Zoom).

Thursday 11 March 2021, 15:00-16:00

Language Technology Lab Seminars

Achieving Universality in Machine Translation: M4 - Massively Multilingual, Massive MT Models for the Next 1000 Languages

Orhan Firat, Google Research.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 11 March 2021, 11:00-12:00

Machine Learning Reading Group @ CUED

Causal Representation Learning

Chaochao Lu, University of Cambridge.

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

Wednesday 10 March 2021, 11:00-12:30

NLIP Seminar Series

[RESCHEDULED] Typological Feature Prediction and Blinding for Cross-Lingual NLP

RESCHEDULED TBD

Johannes Bjerva (Aalborg University).

Virtual (Zoom).

Friday 05 March 2021, 12:00-13:00

Language Technology Lab Seminars

Rethinking Benchmarking in AI

Douwe Kiela, Facebook AI Research.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 04 March 2021, 17:00-18:00

Machine Learning Reading Group @ CUED

Long-Range Transformers

Valerii Likhosherstov, University of Cambridge.

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

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

NLIP Seminar Series

Papers with Code and the automatic extraction of results from papers

Robert Stojnic (Facebook / Papers with Code).

Virtual (Zoom).

Friday 26 February 2021, 12:00-13:00

Language Technology Lab Seminars

Scalable Structural Inductive Biases in Neural Language Models

Adhiguna Kuncoro, DeepMind.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 25 February 2021, 11:00-12:00

Machine Learning Reading Group @ CUED

Inference in Stochastic Processes

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

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

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

NLIP Seminar Series

Title TBD

Mariam Redi (Wikimedia).

Virtual (Zoom).

Friday 19 February 2021, 12:00-13:00

NLIP Seminar Series

The Science of Knowledge Equity - Research at Wikimedia

Miriam Redi, Diego Saez (Wikimedia Foundation).

Virtual (Zoom).

Friday 19 February 2021, 12:00-13:00

Language Technology Lab Seminars

Efficient sentence encoders for Conversational AI in the industry

Inigo Casanueva, PolyAI.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 18 February 2021, 11:00-12:00

Machine Learning Reading Group @ CUED

Fairness in AI

Elre Oldewage (University of Cambridge).

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

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

NLIP Seminar Series

Detecting the "Fake News" Before It Was Even Written, Media Literacy, and Flattening the Curve of the COVID-19 Infodemic

Preslav Nakov (Qatar Computing Research Institute (QCRI), HBKU).

Virtual (Zoom).

Friday 12 February 2021, 12:00-13:00

Language Technology Lab Seminars

Adapters in Transformers. A New Paradigm for Transfer Learning…?

Jonas Pfeiffer, Technical University of Darmstadt.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 11 February 2021, 11:00-12:00

Machine Learning Reading Group @ CUED

Variational Bayes as Surrogate Regression

Will Tebbutt (University of Cambridge).

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

Wednesday 10 February 2021, 11:00-12:30

NLIP Seminar Series

A Graph-Based Framework for Structured Prediction Tasks in Sanskrit

Note unusual time

Amrith Krishna (University of Cambridge).

Virtual (Zoom).

Friday 05 February 2021, 13:00-14:00

Language Technology Lab Seminars

From Translation Divergences to Structure-aware Neural Machine Translation

Omri Abend, The Hebrew University of Jerusalem.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 04 February 2021, 11:00-12:00

NLIP Seminar Series

Learning with Graphs in Natural Language Generation and Relation Extraction

Zhijiang Guo (University of Cambridge).

Virtual (Zoom).

Friday 29 January 2021, 12:00-13:00

Language Technology Lab Seminars

Towards explainable fact checking

Prof. Isabelle Augenstein, University of Copenhagen.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 28 January 2021, 11:00-12:00

NLIP Seminar Series

Revisiting and re-evaluating rumour stance classification

Carolina Scarton (University of Sheffield).

Virtual (Zoom).

Friday 22 January 2021, 12:00-13:00

Language Technology Lab Seminars

Towards Perfect Supervised and Unsupervised Machine Translation

Prof. Dr. Alexander Fraser, CIS, LMU Munich.

https://cam-ac-uk.zoom.us/j/97599459216?pwd=QTRsOWZCOXRTREVnbTJBdXVpOXFvdz09.

Thursday 21 January 2021, 11:00-12:00

Machine Learning Reading Group @ CUED

Bayesian optimization / Gaussian Process Bandits

Sattar Vakili (MediaTek Research).

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

Wednesday 20 January 2021, 11:00-12:30

Machine Learning Reading Group @ CUED

Meta-reinforcement learning

Kris Jensen and Calvin Kao (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Best of NeurIPS

Speaker to be confirmed.

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

Wednesday 16 December 2020, 11:00-12:30

NLIP Seminar Series

Compositional Neural Meaning Representation Parsing

Weiwei Sun (University of Cambridge).

Virtual (Zoom).

Friday 04 December 2020, 12:00-13:00

Language Technology Lab Seminars

Pitfalls in Evaluation of Multilingual Text Representations

Goran Glavaš.

https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmQyY2ViNDgtZDE1MC00MzZhLWFjZGItOWFmMjM2OTI1ZDQy%40thread.v2/0?context=%7b%22Tid%22%3a%2249a50445-bdfa-4b79-ade3-547b4f3986e9%22%2c%22Oid%22%3a%2230bfe2fc-8896-487c-84f2-f4b8875a60b2%22%7d.

Thursday 03 December 2020, 11:00-12:00

Machine Learning Reading Group @ CUED

Neural Processes

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

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

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

NLIP Seminar Series

Improving Speech Translation with Linguistically-Informed Representations

Elizabeth Salesky (Johns Hopkins University).

Zoom.

Friday 27 November 2020, 12:00-13:00

Language Technology Lab Seminars

From Sparse Modeling to Sparse Communication

André F. T. Martins.

https://teams.microsoft.com/l/meetup-join/19%3ameeting_YmQyY2ViNDgtZDE1MC00MzZhLWFjZGItOWFmMjM2OTI1ZDQy%40thread.v2/0?context=%7b%22Tid%22%3a%2249a50445-bdfa-4b79-ade3-547b4f3986e9%22%2c%22Oid%22%3a%2230bfe2fc-8896-487c-84f2-f4b8875a60b2%22%7d.

Thursday 26 November 2020, 11:00-12:00

Machine Learning Reading Group @ CUED

Large-scale sequential experimentation

Wessel Bruinsma and Jiri Hron (University of Cambridge).

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

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

Language Technology Lab Seminars

Understanding Event Processes in Natural Language

Muhao Chen.

https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzU4Y2NiOTItYjE1My00ZDFhLWE3NTItOWVmMDU1MmNkNjU5%40thread.v2/0?context=%7b%22Tid%22%3a%2249a50445-bdfa-4b79-ade3-547b4f3986e9%22%2c%22Oid%22%3a%227c409a60-a41c-43c1-a95a-f00471773d03%22%7d.

Thursday 19 November 2020, 16:00-17:00

Machine Learning Reading Group @ CUED

Symmetries in Reinforcement Learning

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

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

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

NLIP Seminar Series

Predicting Text Readability and Reading Comprehension from Reading Interactions

Sian Gooding (University of Cambridge).

Virtual (Zoom).

Friday 13 November 2020, 12:00-13:00

Language Technology Lab Seminars

Semiparametric Language Models

Dani Yogatama.

https://teams.microsoft.com/l/meetup-join/19%3ameeting_NjYzNzQyOWUtZWM0MC00YzI5LWEwMzMtOGU0ODM4ZDU1NDcw%40thread.v2/0?context=%7b%22Tid%22%3a%2249a50445-bdfa-4b79-ade3-547b4f3986e9%22%2c%22Oid%22%3a%227c409a60-a41c-43c1-a95a-f00471773d03%22%7d.

Thursday 12 November 2020, 14:00-15:00

Machine Learning Reading Group @ CUED

Gradient-based Hyperparameter Optimisation

Ross Clarke (University of Cambridge).

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

Wednesday 11 November 2020, 11:05-12:30

NLIP Seminar Series

How far have we come in giving our NLU systems common sense?

Note time change

Nasrin Mostafazadeh (Verneek).

Virtual (Zoom).

Friday 06 November 2020, 15:00-16:00

Machine Learning Reading Group @ CUED

Best Papers from ICML 2020

Reading group participants.

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

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

NLIP Seminar Series

Five Sources of Biases and Ethical Issues in NLP, and What to Do about Them

Dirk Hovy (Bocconi University).

Virtual (Zoom).

Friday 23 October 2020, 12:00-13:00

NLIP Seminar Series

What are the Goals of Distributional Semantics?

Guy Emerson (University of Cambridge).

Virtual (Zoom).

Friday 16 October 2020, 12:00-13:00

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 Reading Group @ CUED

Active Learning

Austin Tripp and Erik Daxberger (University of Cambridge).

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

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

NLIP Seminar Series

Towards explainable fact checking

Isabelle Augenstein (University of Copenhagen).

https://meet.google.com/xkv-cako-arr.

Friday 19 June 2020, 12:00-13:00

Machine Learning Reading Group @ CUED

Recent advances in the theory and applications of VAEs

Gergely Flamich and Alexandru Cioba.

Venue to be confirmed.

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

NLIP Seminar Series

Achieving Verified Robustness to Adversarial NLP Inputs

Note later start

Johannes Welbl (UCL).

https://meet.google.com/tgv-vods-pdk.

Friday 12 June 2020, 12:30-13:30

NLIP Seminar Series

Methodological advances in creating time sensitive sensors from language and heterogeneous user generated content

Rescheduled

Maria Liakata (Queen Mary University of London, University of Warwick, Alan Turing Institute).

https://meet.google.com/awc-wvbh-azc.

Friday 29 May 2020, 12:00-13:00

Machine Learning Reading Group @ CUED

Best of ICLR 2020

(University of Cambridge).

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

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

NLIP Seminar Series

Reducing gender bias in neural machine translation as a domain adaptation problem

Online Seminar

Danielle Saunders (University of Cambridge).

https://meet.google.com/hhk-hmiz-mpt.

Friday 01 May 2020, 12:00-13:00

Machine Learning Reading Group @ CUED

Differentiable Planning

Will Tebbutt, Robert Pinsler.

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

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

Machine Learning Reading Group @ CUED

Recent Developments in Bayesian Deep Learning

Andrew Foong, Siddharth Swaroop.

https://meet.google.com/hhq-zqtq-siq.

Wednesday 22 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

Strategic Classification

Jiri Hron (University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Machine Learning on Sets

(University of Cambridge).

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

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

Machine Learning Reading Group @ CUED

Boltzmann Generators and Stochastic Normalizing Flows

Vincent Stimper, Michael Bromberg.

Hangouts Meet (Link provided via e-mail).

Wednesday 01 April 2020, 11:00-12:30

Machine Learning Reading Group @ CUED

World Models

Dr Gregor Simm (University of Cambridge).

Hangouts Meet (Link provided via e-mail).

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

Machine Learning Reading Group @ CUED

Federated Learning

Siddharth Swaroop (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Evaluating Deep Generative Models on Out-of-Distribution Inputs

Eric Nalisnick (University of Cambridge).

FW26, Computer Laboratory.

Friday 06 March 2020, 12:00-13:00

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

NLIP Seminar Series

Learning Tensors and Random Matrix Theory

Mehrnoosh Sadrzadeh (UCL).

FW26, Computer Laboratory.

Friday 28 February 2020, 12:00-13:00

Language Technology Lab Seminars

Variational Smoothing in Recurrent Neural Network Language Models

Dr. Lingpeng Kong (DeepMind).

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 27 February 2020, 11:00-12:00

Machine Learning Reading Group @ CUED

Self-Supervised Representation Learning

Javier Antoran (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Shaping Recommendations in a Marketplace via User & Content Understanding

Rishabh Mehrotra (Spotify).

FW26, Computer Laboratory.

Friday 21 February 2020, 12:00-13:00

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

Elre Oldewage (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension

Max Bartolo (UCL).

FW26, Computer Laboratory.

Friday 14 February 2020, 12:00-13:00

Language Technology Lab Seminars

Developing technologies for health, mental health and wellbeing

A joint Leverhulme Centre for the Future of Intelligence (CFI) and Language Technology Lab (LTL) seminar on Human-Centric AI Technologies

Rafael A. Calvo, Imperial College London.

GR04, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 13 February 2020, 11:00-12:00

Machine Learning Reading Group @ CUED

Neural Tangent Kernel

Adria Garriga Alonso, Sebastian Ober.

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Zero-shot Language Learning through Bayesian Neural Models

Edoardo Maria Ponti (University of Cambridge).

FW26, Computer Laboratory.

Friday 07 February 2020, 12:00-13:00

Language Technology Lab Seminars

Computational Models of the Influence of Context on Sentence Acceptability

Shalom Lappin, University of Gothenburg.

GR04, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 06 February 2020, 11:00-12:00

Language Technology Lab Seminars

Urban Dictionary Embeddings for Slang NLP Applications

Dr Barbara McGillivray (University of Cambridge and The Alan Turing Institute).

GR04, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 30 January 2020, 11:00-12:00

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

Language Technology Lab Seminars

Hidden Biases. Ethical Issues in NLP, and What to Do about Them

A joint Leverhulme Centre for the Future of Intelligence (CFI) and Language Technology Lab (LTL) seminar on Human-Centric AI Technologies

Dirk Hovy, Bocconi University in Milan, Italy.

GR04, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 23 January 2020, 11:00-12:00

NLIP Seminar Series

Can we optimise fashion ecommerce using NLG?

Note: earlier time of 11am

Rory Waite (Emotif.ai).

FW26, Computer Laboratory.

Friday 17 January 2020, 11:00-12:00

Language Technology Lab Seminars

Correlations Between Word Vector Sets

A joint Leverhulme Centre for the Future of Intelligence (CFI) and Language Technology Lab (LTL) seminar on Human-Centric AI Technologies

Aleksandar Savkov, Babylon.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 16 January 2020, 11:00-12:00

NLIP Seminar Series

Long Form Question Answering

Angela Fan (Facebook).

FW26, Computer Laboratory.

Friday 06 December 2019, 12:00-13:00

Machine Learning Reading Group @ CUED

Scalable Gaussian Processes

David Burt, Andrew Foong.

Engineering Department, CBL Room BE-438.

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

Machine Learning Reading Group @ CUED

Probabilistic Programming

Hong Ge and John Bronskill.

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Unsupervised cross-lingual representation learning

Room Change: LT1

Sebastian Ruder (DeepMind).

LT1, Computer Laboratory.

Friday 22 November 2019, 12:00-13:00

Language Technology Lab Seminars

Natural Language Understanding and Generation with Abstract Meaning Representation

Marco Damonte, the University of Edinburgh.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 21 November 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Neural Attention

Elre Oldewage, George Hron.

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

CANCELLED Probabilistic models of graphs for meaning representations

Extra talk: note unusual day and time

Adam Lopez (University of Edinburgh).

FW26, Computer Laboratory.

Tuesday 19 November 2019, 10:00-11:00

NLIP Seminar Series

Ethical considerations for responsible design

Room Change: LT1

Shauna Concannon (University of Cambridge).

LT1, Computer Laboratory.

Friday 15 November 2019, 12:00-13:00

Language Technology Lab Seminars

BioNLP Research at Google

Ryan McDonald, Google.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

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

Machine Learning Reading Group @ CUED

Equivariance and Symmetries in CNNs

James Allingham, Omer Sella.

Engineering Department, CBL Room BE-438.

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

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

Machine Learning Reading Group @ CUED

Hyperparameter Optimisation

Ross Clarke, Erik Daxberger, Austin Tripp.

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

A Mutual Information Maximization Perspective of Language Representation Learning

Lingpeng Kong (DeepMind).

FW26, Computer Laboratory.

Friday 01 November 2019, 12:00-13:00

Language Technology Lab Seminars

Learning region based representations of categories

Steven Schockaert, Cardiff University.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 31 October 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Meta-Learning or "Learning To Learn"

John Bronskill, Marton Havasi.

Engineering Department, CBL Room BE-438.

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

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

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

NLIP Seminar Series

Automatic Analysis of Affect and Personality Analysis in Multiperson Settings

Hatice Gunes (University of Cambridge).

FW26, Computer Laboratory.

Friday 25 October 2019, 12:00-13:00

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

Language Technology Lab Seminars

Unsupervised Question Answering

Patrick Lewis, UCL.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 24 October 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Hamiltonian Monte Carlo for Hierarchical Models

Vidhi Lalchand.

Engineering Department, CBL Room BE-438.

Wednesday 23 October 2019, 14:00-15:30

NLIP Seminar Series

Multimodal natural language processing: when text is not enough

Lucia Specia (Imperial College London).

FW26, Computer Laboratory.

Friday 18 October 2019, 12:00-13:00

Language Technology Lab Seminars

Tensor product representations for RNNs / Revisiting post-processing for word embeddings

Shuai Tang, University of California, San Diego.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

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

Language Technology Lab Seminars

Latent Variable Models for Text Generation

Xiaoyu Shen, Saarland University / Max Planck Institute.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 10 October 2019, 11:00-12:00

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

NLIP Seminar Series

‘Profit factory’ and ‘bathroom break’: How to analyse compounds and how to predict their emergence

Lonneke van der Plas (University of Malta).

FW26, Computer Laboratory.

Wednesday 18 September 2019, 12:00-13:00

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

NLIP Seminar Series

Natural Language Generation in the Wild

Daniel Beck, University of Melbourne.

FW26, Computer Laboratory.

Friday 05 July 2019, 12:00-13:00

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

NLIP Seminar Series

Duolingo: Improving Language Learning and Assessment with A.I.

Burr Settles, Duolingo.

FW26, Computer Laboratory.

Wednesday 19 June 2019, 15:00-16:00

NLIP Seminar Series

An Operation Sequence Model for Explainable Neural Machine Translation

Felix Stahlberg, CUED, University of Cambridge.

FW26, Computer Laboratory.

Friday 14 June 2019, 12:00-13:00

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

NLIP Seminar Series

Continuous feature structures: Can we learn structured representations with neural networks?

Guy Emerson, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 07 June 2019, 12:00-13:00

Language Technology Lab Seminars

Relational knowledge in vector spaces

Luis Espinosa-Anke (University of Cardiff).

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 06 June 2019, 11:00-12:00

NLIP Seminar Series

Towards secure and efficient DNNs

Aaron Zhao, University of Cambridge.

FW26, Computer Laboratory.

Friday 31 May 2019, 12:00-13:00

Language Technology Lab Seminars

Imitation learning, zero-shot learning and automated fact checking

Andreas Vlachos (University of Cambridge).

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 30 May 2019, 11:00-12:00

NLIP Seminar Series

Mitigating Gender Bias in Morphologically Rich Languages

Ryan Cotterell, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 24 May 2019, 12:00-13:00

Language Technology Lab Seminars

Predicting and Analysing Online User Behaviour with Natural Language Processing

Nikolaos Aletras (University of Sheffield).

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 23 May 2019, 11:00-12:00

NLIP Seminar Series

AI Extenders: The Ethical and Societal Implications of Humans Cognitively Extended by AI

Karina Vold & José Hernández-Orallo, Leverhulme Centre for the Future of Intelligence, University of Cambridge.

FW26, Computer Laboratory.

Friday 17 May 2019, 12:00-13:00

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 Reading Group @ CUED

Particle MCMC

Will Tebbutt (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Factorising AMR generation through syntax

Kris Cao, DeepMind.

FW26, Computer Laboratory.

Friday 10 May 2019, 12:00-13:00

Language Technology Lab Seminars

How to Pay Attention: Learning to Transfer Knowledge between Sentences and Tokens

Marek Rei ( University of Cambridge).

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 09 May 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Stochastic Differential Equations

David Burt.

Engineering Department, CBL Room BE-438.

Wednesday 08 May 2019, 14:00-15:30

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

NLIP Seminar Series

Languages* in Formal Reasoning: Accessibility vs. Formality

Zohreh Shams, AI Group, University of Cambridge.

FW26, Computer Laboratory.

Friday 03 May 2019, 12:00-13:00

Machine Learning Reading Group @ CUED

Generalisation in neural networks

Marton Havasi.

Engineering Department, CBL Room BE-438.

Wednesday 01 May 2019, 14:00-15:30

NLIP Seminar Series

Word Sense Disambiguation and Other Systems in Japanese

Kanako Komiya, Ibaraki University, Japan.

FW26, Computer Laboratory.

Friday 26 April 2019, 12:00-13:00

Machine Learning Reading Group @ CUED

An Overview of Normalizing Flows

Robert Pinsler.

Engineering Department, CBL Room BE-438.

Wednesday 24 April 2019, 14:00-15:30

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

Language Technology Lab Seminars

Finding translations in unordered text using multilingual sentence representations

Jenna Kanerva, University of Turku.

Board room, Faculty of English, 9 West Rd (Sidgwick Site).

Thursday 04 April 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Sampling as Optimization

Eric Nalisnick, University of Cambridge.

Engineering Department, CBL Room BE-438.

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

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

Language Technology Lab Seminars

Disagreements in anaphoric interpretation

Massimo Poesio ( University of Essex).

Faculty of English, Room SR24.

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

Machine Learning Reading Group @ CUED

Implicit Variational Inference

Andrew Foong (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

K.A.T.E.: Scaling personalised tech education for professionals

Raoul-Gabriel Urma, Kevin Lemagnen, Sahan Bulathwela, Cambridge Spark.

FW26, Computer Laboratory.

Friday 08 March 2019, 12:00-13:00

Language Technology Lab Seminars

Improving Literature-based Discovery with Neural Networks

Gamal Crichton, Language Technology Lab.

Faculty of English, Room SR24.

Thursday 07 March 2019, 11:00-12:00

Machine Learning Reading Group @ CUED

Continual Learning: Definitions, Benchmarks, and Approaches

Siddharth Swaroop (University of Cambridge).

Engineering Department, CBL Room BE-438.

Wednesday 06 March 2019, 13:45-15:15

NLIP Seminar Series

Learning multi-domain dialogues

Paweł Budzianowski, CUED, University of Cambridge.

FW26, Computer Laboratory.

Friday 01 March 2019, 12:00-13:00

Machine Learning Reading Group @ CUED

Causal Inference and Causal Reinforcement Learning

Chaochao Lu (University of Cambridge).

Engineering Department, CBL Room BE-438.

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

NLIP Seminar Series

Large-scale analyses of language variation and change in social media

Dong Nguyen, University of Edinburgh & Alan Turing Institute.

FW26, Computer Laboratory.

Friday 22 February 2019, 12:00-13:00

Language Technology Lab Seminars

Teaching Artificial Agents to Understand Language by Modelling Reward

Edward Grefenstette, Facebook AI Research.

Faculty of English, Room SR24.

Thursday 21 February 2019, 11:00-12:00

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

NLIP Seminar Series

Understanding Source Code using Natural Language and Graph Neural Networks

Miltos Allamanis, Microsoft Research.

FW26, Computer Laboratory.

Friday 15 February 2019, 12:00-13:00

Language Technology Lab Seminars

Do Deep Generative Models Know What They Don't Know?

Eric T Nalisnick (University of Cambridge).

Faculty of English, Room SR24.

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

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

Machine Learning Reading Group @ CUED

Logical Uncertainty

Adrià Garriga Alonso (University of Cambridge).

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

Learning to navigate without a map (but with instructions)

Piotr Mirowski, DeepMind.

FW26, Computer Laboratory.

Friday 08 February 2019, 12:00-13:00

Language Technology Lab Seminars

Probabilistic Typology

Ryan Cotterell ( University of Cambridge).

Faculty of English, Room SR24.

Thursday 07 February 2019, 11:00-12:00

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

NLIP Seminar Series

Topic-Aware Convolutional Neural Networks for Extreme Summarization

Shashi Narayan, University of Edinburgh / Google.

FW26, Computer Laboratory.

Friday 01 February 2019, 12:00-13:00

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

Machine Learning Reading Group @ CUED

Stein Discrepancy

Sebastian Ober (University of Cambridge).

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

**CANCELLED** Probabilistic Typology: Deep Generative Models of Vowel Inventories

Ryan Cotterell, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 25 January 2019, 12:00-13:00

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

Language Technology Lab Seminars

Learning and testing compositionality

Elia Bruni, University of Pompeu Fabra (Barcelona, Spain).

Faculty of English, Room SR24.

Thursday 24 January 2019, 11:00-12:00

NLIP Seminar Series

What makes psychotherapy work? Using deep learning to quantify the relationship between therapy content and outcomes

Ronan Cummins & Michael Ewbank, Ieso Digital Health.

FW26, Computer Laboratory.

Friday 18 January 2019, 12:00-13:00

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

NLIP Seminar Series

Graph Neural Networks for Knowledge Base Question Answering

Room changed

Daniil Sorokin, Technische Universität Darmstadt.

FW11, Computer Laboratory.

Friday 30 November 2018, 12:00-13:00

Language Technology Lab Seminars

Linguistic Measures for the Detection of Clinical Conditions

Aline Villavicencio (Federal University of Rio Grande do Sul, University of Essex).

Boardroom, Faculty of English, West Road.

Thursday 29 November 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Neural Ordinary Differential Equations

Eric T Nalisnick (University of Cambridge).

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

Emergence of (linguistic) communication through multi-agent interactions

Angeliki Lazaridou, DeepMind.

Boardroom, Faculty of English, West Road.

Thursday 22 November 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Natural gradient in deep neural networks

Alberto Bernacchia (University of Cambridge).

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

The Ethics of Artificially Intelligent Communications Technology

Room changed

Marcus Tomalin, CUED, University of Cambridge.

FW11, Computer Laboratory.

Friday 16 November 2018, 12:00-13:00

Language Technology Lab Seminars

Learning with Explanations

Tim Rocktäschel, Facebook AI Research.

Boardroom, Faculty of English, West Road.

Thursday 15 November 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Graph Neural Networks

Matej Balog (University of Cambridge).

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

Knowledge Representation and Extraction at Scale

Christos Christodoulopoulos, Amazon.

FW26, Computer Laboratory.

Friday 09 November 2018, 12:00-13:00

Language Technology Lab Seminars

Cross-Lingual Word Embeddings in 60 Minutes

Ivan Vulić, LTL, University of Cambridge.

Boardroom, Faculty of English, West Road.

Thursday 08 November 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Defending Against Adversarial Attacks

Ross Clarke (University of Cambridge).

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

On KL divergence and beyond

Yingzhen Li, Microsoft Research Cambridge.

Boardroom, Faculty of English, West Road.

Thursday 01 November 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Reinforcement Learning and Control as Probabilistic Inference

Robert Pinsler, Calvin Kao.

Engineering Department, CBL Room 438.

Wednesday 31 October 2018, 14:00-15:30

NLIP Seminar Series

Deep learning for automatically assessing the pronunciation of non-native English speakers

Kostas Kyriakopoulos, CUED, University of Cambridge.

FW26, Computer Laboratory.

Friday 26 October 2018, 12:00-13:00

Language Technology Lab Seminars

Representation Learning and Neuro-Symbolic Reasoning in Knowledge Graphs and Natural Language

Pasquale Minervini, University College London.

Boardroom, Faculty of English, West Road.

Thursday 25 October 2018, 11:00-12:00

NLIP Seminar Series

Learning, Representing, and Understanding Language

Aida Nematzadeh, DeepMind.

FW26, Computer Laboratory.

Friday 19 October 2018, 12:00-13:00

LTL Seminars 2018/2019

Practical Approaches to Conversational AI

Pei-Hao (Eddy) Su, PolyAI.

Board Room, 1st floor, English Faculty Building (Sidgwick site), 9 West Road, Cambridge.

Thursday 18 October 2018, 11:00-12:00

NLIP Seminar Series

Some lessons learned in Multimodal Representations and Transfer

Pranava Madhyastha, Imperial College London.

FW26, Computer Laboratory.

Friday 12 October 2018, 12:00-13:00

LTL Seminars 2018/2019

LION-LBD: Literature-Based Discovery for Cancer Biology

Simon Baker, LTL.

Board Room, 1st floor, English Faculty Building (Sidgwick site), 9 West Road, Cambridge.

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

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

NLIP Seminar Series

Imitation learning, zero-shot learning and automated fact checking

Andreas Vlachos, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 05 October 2018, 12:00-13:00

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

Language Technology Lab Seminars

Language Adaptation experiments: Cross-lingual embeddings for related languages

Serge Sharoff (Leeds).

Boardroom, Faculty of English, West Road.

Thursday 14 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

NLIP Seminar Series

Functional Distributional Semantics: Learning Linguistically Informed Representations from a Precisely Annotated Corpus

Guy Emerson, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 08 June 2018, 12:00-13:00

Language Technology Lab Seminars

Methods and Interactive Tools for Exploring the Semantics of Essentially Contested Concepts

Paul Nulty (CRASSH-Cambridge).

Boardroom, Faculty of English, West Road.

Thursday 07 June 2018, 11:00-12:00

NLIP Seminar Series

Learning hierarchical structure: strong learning of PCFGs

Alexander Clark, King's College London.

FW26, Computer Laboratory.

Friday 01 June 2018, 12:00-13:00

Language Technology Lab Seminars

Imitation learning for language generation

Gerasimos Lampouras (Sheffield).

Boardroom, Faculty of English, West Road.

Thursday 31 May 2018, 11:00-12:00

NLIP Seminar Series

NAACL practice talks

Simon Baker (LTL) & Marek Rei (NLIP), University of Cambridge.

FW26, Computer Laboratory.

Friday 25 May 2018, 12:00-13:00

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

NLIP Seminar Series

The potential of synthetic data for more informative evaluation in Visual Question Answering

Alexander Kuhnle, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 18 May 2018, 12:00-13:00

NLIP Seminar Series

Emergent Communication through Negotiation

Kris Cao, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 11 May 2018, 12:00-13:00

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

NLIP Seminar Series

Predictive Uncertainty in Deep Learning

Andrey Malinin, CUED, University of Cambridge.

FW26, Computer Laboratory.

Friday 04 May 2018, 12:00-13:00

Language Technology Lab Seminars

Scalable Non-Markovian Language Modelling

Ehsan Shareghi.

Boardroom, Faculty of English, West Road.

Thursday 03 May 2018, 11:00-12:00

NLIP Seminar Series

Multilingual NLP via Cross-Lingual Word Embeddings

Ivan Vulic, LTL, University of Cambridge.

FW26, Computer Laboratory.

Friday 27 April 2018, 12:00-13:00

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

NLIP Seminar Series

** cancelled **

Julian Perez, Naver Labs Europe.

FW26, Computer Laboratory.

Friday 23 March 2018, 12:00-13:00

Language Technology Lab Seminars

Knowledge Acquisition from Corpora and the Wisdom of Crowds

Daisuke Kawahara (Kyoto University).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 22 March 2018, 11:00-12:00

NLIP Seminar Series

Virtual bargaining as a micro-foundation for communication

Note unusual time

Professor Nick Chater, University of Warwick.

FW26, Computer Laboratory.

Friday 09 March 2018, 16:30-17:30

Machine Learning Reading Group @ CUED

Neural Networks and Natural Language Processing

Matej Balog (University of Cambridge).

Engineering Department, CBL Room 438.

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

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

NLIP Seminar Series

Jointly Learning Syntax and Semantics

Jean Maillard, NLIP, University of Cambridge.

FW26, Computer Laboratory.

Friday 02 March 2018, 12:00-13:00

Machine Learning Reading Group @ CUED

Information Theory, Codes, and Compression

Christian Steinruecken (University of Cambridge).

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

NLP in the clinical domain - data, approaches and considerations

Sumithra Velupillai (King's College).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 01 March 2018, 11:00-12:00

NLIP Seminar Series

Constructing datasets for multi-hop reading comprehension across documents

Johannes Welbl, University College London.

FW26, Computer Laboratory.

Friday 23 February 2018, 12:00-13:00

NLIP Seminar Series

Deep reinforcement learning for dialogue policy optimisation

Dr Milica Gasic, Dept. Engineering, University of Cambridge.

FW26, Computer Laboratory.

Friday 16 February 2018, 12:00-13:00

Machine Learning @ CUED

Lipschitz Global Optimization

Professor Yaroslav D Sergeyev, Universita della Calabria.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

Statistical Learning Theory

Maria Lomeli.

Engineering Department, CBL Seminar Room 4-38.

Thursday 15 February 2018, 13:30-15:00

Language Technology Lab Seminars

Predicting Judicial Decisions of the European Court of Human Rights

Nikos Aletras (Sheffield).

Boardroom, Faculty of English, West Road.

Thursday 15 February 2018, 11:00-12:00

NLIP Seminar Series

Pruning and grafting syntactic trees for cross-lingual transfer tasks

Edoardo Ponti, TAL, University of Cambridge.

FW26, Computer Laboratory.

Friday 09 February 2018, 12:00-13:00

Language Technology Lab Seminars

Graph Convolutional Networks for Natural Language Processing and Relational Modeling

Ivan Titov (Edinburgh).

Boardroom, Faculty of English, West Road.

Thursday 08 February 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Deep Generative Models

Jonathan Gordon; Alexander Matthews.

Engineering Department, CBL Seminar Room 4-38.

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

Machine Learning Reading Group @ CUED

Minimum Description Length

Carl E. Rasmussen; Niki Kilbertus.

Engineering Department, CBL Seminar Room 4-38.

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

Language Technology Lab Seminars

Interdisciplinarity: The art of unsettling multiple disciplines

Petar Milin (Sheffield).

Boardroom, Faculty of English, West Road.

Thursday 25 January 2018, 11:00-12:00

Language Technology Lab Seminars

Context Sensitive Distributional Semantics

Stephen McGregor (TCIDA, Goldsmiths).

Boardroom, Faculty of English, West Road.

Thursday 18 January 2018, 11:00-12:00

Machine Learning Reading Group @ CUED

Machine Learning for Sounds

Akisato Kimura.

Engineering Department, CBL Seminar Room 4-38.

Thursday 11 January 2018, 13:30-15:00

Language Technology Lab Seminars

Senses can help vector space models of lexical substitution

Marianna Apidianaki (LIMSI).

Boardroom, Faculty of English, West Road.

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

Machine Learning Reading Group @ CUED

NIPS 2017 Highlights

Speaker to be confirmed.

Engineering Department, CBL Seminar Room 4-38.

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

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

Machine Learning Reading Group @ CUED

Hardware Efficient Machine Learning

Robert Peharz; Marton Havasi.

Engineering Department, CBL Seminar Room 4-38.

Thursday 30 November 2017, 13:30-15:00

Language Technology Lab Seminars

Sentence Generation using a Dynamic Canvas

David Barber (University College London).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 30 November 2017, 11:00-12:00

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

NLIP Seminar Series

Imitation learning for structured prediction and automated fact checking

Dr Andreas Vlachos, University of Sheffield.

FW26, Computer Laboratory.

Friday 24 November 2017, 12:00-13:00

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 Reading Group @ CUED

Learning to Learn

Siddharth Swaroop; Will Tebbutt.

Engineering Department, CBL Seminar Room 4-38.

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

Language Technology Lab Seminars

Learning to Create and Reuse Words in Open-Vocabulary Language Modeling

Kazuya Kawakami (DeepMind).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 23 November 2017, 11:00-12:00

NLIP Seminar Series

Internal seminar - new PhD students

New NLIP PhDs.

FW11, Computer Laboratory.

Friday 17 November 2017, 12:00-13:00

Machine Learning @ CUED

Towards true end-to-end learning & optimization

Dr Frank Hutter.

CBL Seminar Room.

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

Machine Learning Reading Group @ CUED

WGAN and Optimal Transport

Mark Rowland; Wenbo Gong.

Engineering Department, CBL Seminar Room 4-38.

Thursday 16 November 2017, 13:30-15:00

NLIP Seminar Series

Labelling Topics Using Neural Networks

Nikolaos Aletras, Amazon Research Cambridge.

FW26, Computer Laboratory.

Friday 10 November 2017, 12:00-13:00

Machine Learning Reading Group @ CUED

Interpretability in Machine Learning

Adrian Weller; Tameem Adel Hesham.

Engineering Department, CBL Seminar Room 4-38.

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

Language Technology Lab Seminars

What can online collaborative dictionaries tell us about language and social dynamics?

Barbara McGillivray (The Alan Turing Institute/University of Cambridge).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 09 November 2017, 11:00-12:00

Machine Learning Reading Group @ CUED

Deep Structured Prediction for Handwriting Recognition

Juan Murillo Fuentes.

Engineering Department, CBL Seminar Room 4-38.

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

Language Technology Lab Seminars

Corpus-Based Analysis of the Canonical Word Order of Japanese Double Object Constructions

Ryohei Sasano (Nagoya University).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 02 November 2017, 11:00-12:00

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

NLIP Seminar Series

Grounded language learning in simulated worlds

Felix Hill, DeepMind.

FW26, Computer Laboratory.

Friday 27 October 2017, 12:00-13:00

Machine Learning Reading Group @ CUED

Cooperative Inverse RL

Robert Pinsler; Adria Garriga Alonso.

Engineering Department, CBL Seminar Room 4-38.

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

NLIP Seminar Series

Towards More Robust and Interpretable Models for Structured Prediction and Language Generation

Adhiguna Kuncoro, DeepMind.

FW26, Computer Laboratory.

Friday 20 October 2017, 12:00-13:00

Machine Learning Reading Group @ CUED

Infer.NET

John F. Bronskill.

Engineering Department, CBL Seminar Room 4-38.

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

Language Technology Lab Seminars

Internal LTL Seminar

Speaker to be confirmed.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

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

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

Machine Learning @ CUED

Transfer Learning for NLP

Sebastian Ruder, INSIGHT Centre.

JDB Seminar Room, CUED.

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

NLIP Seminar Series

Neural Models for Information Retrieval

Bhaskar Mitra, Microsoft Research Cambridge.

FW26, Computer Laboratory.

Friday 13 October 2017, 12:00-13:00

Language Technology Lab Seminars

Internal LTL Seminar

Speaker to be confirmed.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

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

Language Technology Lab Seminars

Detecting Semantic Change Using LDA in Historical Texts: a Case Study on Dutch

Simon Hengchen (Université libre de Bruxelles).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Tuesday 10 October 2017, 13:00-14:00

NLIP Seminar Series

Text-to-text Generation Beyond Machine Translation

Shashi Narayan, University of Edinburgh.

FW26, Computer Laboratory.

Friday 06 October 2017, 12:00-13:00

Language Technology Lab Seminars

Detecting Text Reuse in Large Historical Corpora and Authorship Attribution of Premodern Documents

Aleksi Vesanto (University of Turku).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Tuesday 03 October 2017, 11:00-12:00

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

NLIP Seminar Series

Finite-State Transducers as a Theory of Dependency Structured Natural Language

Anssi Yli-Jyrä, University of Helsinki.

FW26, Computer Laboratory.

Friday 22 September 2017, 12:00-13:00

Language Technology Lab Seminars

Natural Language Processing to Bridge Heterogeneous Data

Yusuke Miyao (National Institute of Informatics, Japan).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Tuesday 19 September 2017, 14:00-15:00

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

Language Technology Lab Seminars

Modeling Context-sensitive Selectional Preference with Distributed Representations

Naoya Inoue (Tohoku University, Japan).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 31 August 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

NLIP Seminar Series

Deep NLP in language tutoring

Francis Bond, Associate Professor at the Division of Linguistics and Multilingual Studies, Nanyang Technological University, Singapore.

FW11, Computer Laboratory.

Friday 16 June 2017, 15:00-16:00

Language Technology Lab Seminars

Linguists-defined and Machine-induced Natural Language Structures to Executable Logical Forms

Siva Reddy (Stanford University).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 15 June 2017, 11:00-12:00

NLIP Seminar Series

Predicting Rich Linguistic Structure with Neural Networks

Jan Buys, University of Oxford.

FW11, Computer Laboratory.

Tuesday 13 June 2017, 14:00-15:00

Language Technology Lab Seminars

Vanishing laws of semantic change - studying semantic change using distributional word representations and proper control condition

Haim Dubossarsky (Hebrew University of Jerusalem).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Monday 12 June 2017, 11:00-12:00

NLIP Seminar Series

Functional Distributional Semantics

Guy Edward Toh Emerson (University of Cambridge).

FW26, Computer Laboratory.

Friday 09 June 2017, 12:00-13:00

NLIP Seminar Series

NLP, the perfect social (media) science?

Dirk Hovy, University of Copenhagen.

FW26, Computer Laboratory.

Wednesday 07 June 2017, 12:00-13:00

NLIP Seminar Series

Sentence-level Topic Models

Kris Cao (University of Cambridge).

FW26, Computer Laboratory.

Friday 02 June 2017, 12:00-13:00

Language Technology Lab Seminars

Statistical Properties and Applications of Word Tensors

Mehrnoosh Sadrzadeh (Queen Mary University of London).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 01 June 2017, 11:00-12:00

NLIP Seminar Series

Text Simplification: Where are we now, and where are we headed?

Gustavo Henrique Paetzold, University of Sheffield.

FW26, Computer Laboratory.

Friday 26 May 2017, 12:00-13:00

Language Technology Lab Seminars

Location Resolution in Language Processing

Milan Gritta (University of Cambridge).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 25 May 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

NLIP Seminar Series

Neural Architectures for Sequence Labelling

Marek Rei, University of Cambridge.

FW26, Computer Laboratory.

Friday 19 May 2017, 12:00-13:00

Language Technology Lab Seminars

Reading and Reasoning with Vector Representations

Sebastian Riedel (UCL).

Lecture Block, room 2, Sidgwick Site.

Thursday 18 May 2017, 11:00-12:00

NLIP Seminar Series

Neural Belief Tracker: Data-Driven Dialogue State Tracking using Semantically Specialised Vector Spaces

Nikola Mrskic, University of Cambridge.

FW26, Computer Laboratory.

Friday 12 May 2017, 12:00-13:00

Language Technology Lab Seminars

Building a True Semantic World: Generalizing set-theoretic semantics in vector spaces

Eva Maria Vecchi.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

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

Language Technology Lab Seminars

Cross-lingual Learning 2.0

Anders Søgaard (University of Copenhagen).

GR06-7, English Faculty.

Thursday 27 April 2017, 11:00-12:00

Language Technology Lab Seminars

Semantic (Vector) Representations of Word Senses, Concepts and Entities and their Applications

Jose Camacho-Collados (Sapienza University of Rome).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 20 April 2017, 11:00-12:00

Language Technology Lab Seminars

Internal LTL meeting

Speaker to be confirmed.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 13 April 2017, 11:00-12:00

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

Language Technology Lab Seminars

Scientific Paper Analysis: JST CREST Project of Big Data Application

Prof. Yuji Matsumoto (Nara Institute of Science and Technology).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Tuesday 28 March 2017, 11:00-12:00

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

Machine Learning Reading Group @ CUED

Kernel Mean Embeddings

Jiri Hron; Adam Scibior.

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

Internal LTL meeting

Speaker to be confirmed.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 16 March 2017, 11:00-12:00

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

NLIP Seminar Series

Neural Variational Inference for NLP

Yishu Miao, University of Oxford.

FW26, Computer Laboratory.

Friday 10 March 2017, 12:00-13:00

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 Reading Group @ CUED

Differential Privacy

John Bradshaw; Alex Matthews.

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

Knowledge Base Population from Text and Graphs

Lucas Sterckx (University of Ghent).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 09 March 2017, 11:00-12:00

NLIP Seminar Series

Learning Hierarchical Word and Sentence Representations

Dani Yogatama, DeepMind.

FW26, Computer Laboratory.

Friday 03 March 2017, 12:00-13:00

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

NLIP Seminar Series

EACL potpourri

NLIP PhDs and postdocs.

FW26, Computer Laboratory.

Friday 24 February 2017, 12:00-13:00

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

Language Technology Lab Seminars

Computational approaches for deciphering the regulation of cancer genomes

Shamith Samarajiwa.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 23 February 2017, 11:00-12:00

Machine Learning Reading Group @ CUED

Probabilistic Numerics

Alessandro Davide Ialongo (MLG - University of Cambridge).

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

Title to be confirmed

Ekaterina Shutova.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 16 February 2017, 11:00-12:00

Machine Learning Study Group

Deep Learning Book - Meeting 3 - Optimization

Group Discussion.

CBL Room BE-438.

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

NLIP Seminar Series

Imitation learning for language generation from unaligned data

Gerasimos Lampouras, University of Sheffield.

FW26, Computer Laboratory.

Friday 10 February 2017, 12:00-13:00

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

Language Technology Lab Seminars

Challenges and opportunities in the use of Internet data for insights on medicine

Elad Yom-Tov (Microsoft Research).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 09 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

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

Language Technology Lab Seminars

Learning to Generate Textual Data

Pontus Stenetorp (UCL).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 26 January 2017, 11:00-12:00

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

NLIP Seminar Series

Learning Commonsense Event Schemas from Unlabeled Text

Nate Chambers, US Naval Academy.

FW26, Computer Laboratory.

Friday 20 January 2017, 12:00-13:00

Machine Learning Reading Group @ CUED

NIPS 2016 papers in 5mins

MLG members.

Engineering Department, CBL Room 438.

Thursday 19 January 2017, 13:30-15:00

Language Technology Lab Seminars

Reflections on Universal Dependencies

Joakim Nivre (Uppsala University).

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

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

Language Technology Lab Seminars

Internal LTL meeting

Speaker to be confirmed.

SR-24, English Faculty Building, 9 West Road (Sidgwick Site).

Thursday 12 January 2017, 11:00-12:00

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

NLIP Seminar Series

Internal Seminar pt. 2

PhD students, NLIP group.

FW26, Computer Laboratory.

Friday 02 December 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

Symmetry in Statistical Models

Mark Rowland; Maria Lomeli.

Engineering Department, CBL Room 438.

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

Machine Learning @ CUED

Learning with limited supervision

Stefano Ermon, Stanford.

CBL Room BE-438.

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

NLIP Seminar Series

On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems

Pei-Hao Su (University of Cambridge).

FW26, Computer Laboratory.

Friday 25 November 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

Bayesian Optimization

Pawel Budzianowiski; Brian Trippe.

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

Sensing well-being using heterogeneous smartphone data and stance identification in social media conversations

Maria Liakata (Warwick University).

GR05, English Faculty, 9 West Road (Sidgwick Site).

Thursday 24 November 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

NLIP Seminar Series

Learning to Detect Stance and Represent Emojis

Isabelle Augenstein, University College London.

FW26, Computer Laboratory.

Friday 18 November 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

deep generative models

Dave Janz; James Requeima.

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

Industrial NLP Applications of Machine Learning in Different Domains

Jochen Leidner (Thomson Reuters).

GR05, English Faculty, 9 West Road (Sidgwick Site).

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

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

NLIP Seminar Series

Recommending relevant citations using CoreSC and Argumentative Zoning

Daniel Duma, University of Edinburgh.

FW26, Computer Laboratory.

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

Machine Learning Reading Group @ CUED

Sketching methods

John Bradshaw.

Engineering Department, CBL Room 438.

Thursday 10 November 2016, 13:30-15:00

Language Technology Lab Seminars

Monolingual and multilingual, explicit and latent vector representations of meaning

Roberto Navigli (Sapienza University of Rome).

GR05, English Faculty, 9 West Road (Sidgwick Site).

Thursday 10 November 2016, 11:00-12:00

Open Source for NLP

Open Source and NLP

A special one day workshop.

Ann Copestake (Cambridge), Aurelie Herbelot (Trento), Diana Maynard (Sheffield), Behrang QasemiZadeh (Düsseldorf), Nandaja Varma, Esther Seyffarth (Düsseldorf), Hrishikesh K.B. (Swathanthra Malayalam Computing).

Seminar Room FW11, Computer Laboratory.

Thursday 10 November 2016, 09:00-17:00

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

Machine Learning Reading Group @ CUED

A crash-course on Bayesian Reinforcement Learning

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

Engineering Department, CBL Room 438.

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

Language Technology Lab Seminars

Biomedical Text Mining: Structuring the Unstructured

David Milward (Linguamatics).

GR05, English Faculty, 9 West Road (Sidgwick Site).

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

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

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

Language Technology Lab Seminars

User-generated content mining: From collective disease rates to individual demographics

Vasileios Lampos (UCL).

GR05, English Faculty, 9 West Road (Sidgwick Site).

Thursday 27 October 2016, 11:00-12:00

Language Technology Lab Seminars

Nursing Turing's Child: How to Grow Communication-based Intelligent Machines

Marco Baroni (University of Trento/Facebook Artificial Intelligence Research).

GR04, English Faculty, 9 West Road (Sidgwick Site).

Monday 24 October 2016, 15:30-17:00

NLIP Seminar Series

Numerically Grounded Language Models

George Spithourakis (UCL).

FW26, Computer Laboratory.

Friday 21 October 2016, 12:00-13:00

Language Technology Lab Seminars

Building and using the Finnish Internet Parsebank

Filip Ginter (University of Turku).

GR05, English Faculty, 9 West Road (Sidgwick Site).

Thursday 20 October 2016, 11:00-12:00

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

NLIP Seminar Series

Internal Seminar pt. 1

NLIP Postdocs and PhDs.

FW26, Computer Laboratory.

Friday 14 October 2016, 12:00-13:00

Language Technology Lab Seminars

Internal LTL meeting

Speaker to be confirmed.

GR05, English Faculty, 9 West Road (Sidgwick Site).

Thursday 13 October 2016, 11:00-12:00

Language Technology Lab Seminars

Multiword Expressions and Compositionality Detection: Giving Word Embeddings a Hard Time

Aline Villavicencio (Federal University of Rio Grande do Sul).

GR04, English Faculty, 9 West Road (Sidgwick Site).

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

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

NLIP Seminar Series

Text Readability Assessment for Second Language Learners

Menglin Xia (University of Cambridge).

FW26, Computer Laboratory.

Friday 01 July 2016, 12:00-13:00

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

NLIP Seminar Series

Strong Structural Priors for Neural Network Architectures

Tim Rocktäschel ( UCL).

FW26, Computer Laboratory.

Friday 10 June 2016, 12:00-13:00

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 Reading Group @ CUED

Partially Observable Markov Decision Processes (POMDPs)

Rowan McAllister (University of Cambridge), Alex Navarro.

Engineering Department, CBL Room 438.

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

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

NLIP Seminar Series

Incremental CCG parsing and its applications

Bharat Ram Ambati, University of Edinburgh/Apple.

FW26, Computer Laboratory.

Friday 27 May 2016, 12:00-13:00

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 Reading Group @ CUED

Learning polynomials with Neural Networks

Aldo Pacchiano (Berkeley).

Engineering Department, CBL Room 438.

Thursday 26 May 2016, 14:30-16:00

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

NLIP Seminar Series

Conversation Trees: A Grammar Model for Topic Structure in Online Forums

Annie Louis, University of Essex.

FW26, Computer Laboratory.

Friday 20 May 2016, 12:00-13:00

NLIP Seminar Series

Generating Natural-Language Video Descriptions using LSTM Recurrent Neural Networks

Raymond Mooney, University of Texas.

FW26, Computer Laboratory.

Wednesday 18 May 2016, 16:00-17:00

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

Machine Learning Reading Group @ CUED

An introduction to Bayesian nonparametrics: some inference schemes for infinite mixture models

Maria Lomeli.

Engineering Department, CBL Room 438.

Thursday 05 May 2016, 14:30-16:00

NLIP Seminar Series

Maternal Health in Uganda: Listen Intelligently to Local Voices combining Language and Technology

Claudia Abreu Lopes, Africa's Voices.

FW26, Computer Laboratory.

Friday 29 April 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

Topics in Expectation Propagation

Yingzhen Li (University of Cambridge), Rich Turner.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Deep Q-Learning and AlphaGo

Shixiang Gu (University of Cambridge); Amar Shah.

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

From passive to interactive (multimodal) language learning

Angeliki Lazaridou, University of Trento.

FW26, Computer Laboratory.

Friday 15 April 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

inference failures in probabilistic programming

Tom Minka (Microsoft Research Ltd).

Engineering Department, CBL Room 438.

Thursday 14 April 2016, 14:30-16:00

NLIP Seminar Series

Where Can I Buy a Boulder? Searching for Offline Retail Locations

Sandro Bauer (University of Cambridge).

FW26, Computer Laboratory.

Friday 08 April 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

Variational Methods and Compressed Sensing

Nilesh Tripuraneni (University of Cambridge).

Engineering Department, CBL Room 438.

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

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 Reading Group @ CUED

Fast Fusion of Multi-band Images: A Powerful Tool for Super-resolution

Qi Wei (University of Cambridge).

Engineering Department, CBL Room 438.

Thursday 31 March 2016, 14:30-16:00

NLIP Seminar Series

Texts Come from People - How Demographic Factors Influence NLP Models

Dirk Hovy, University of Copenhagen.

FW26, Computer Laboratory.

Friday 18 March 2016, 14:00-15:00

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

Computational Neuroscience

It's the Network Dummy: Exhuming the reticular theory while shoveling a little dirt on the neuron doctrine

Tom Dean, Google Research.

Cambridge University Engineering Department, CBL, BE-438 (http://learning.eng.cam.ac.uk/Public/Directions).

Wednesday 16 March 2016, 10:00-11:00

NLIP Seminar Series

Tracing concepts through time

Gabriel Recchia (University of Cambridge).

FW26, Computer Laboratory.

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

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

NLIP Seminar Series

General-Purpose Representation Learning from Words to Sentences

***PLEASE NOTE CHANGED (DIFFERENT) TIME***

Felix Hill (University of Cambridge).

FW26, Computer Laboratory.

Friday 04 March 2016, 11:00-12:00

Machine Learning Reading Group @ CUED

Probabilistic programming

Hong Ge (University of Cambridge); Matej Balog.

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

Understanding generative learning in the individual brain

Zoe Kourtzi (University of Cambridge).

FW26, Computer Laboratory.

Friday 26 February 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

Learning by learning rich generative models

Thang Bui (University of Cambridge).

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

Data Science at The Guardian

Felix Sanchez-Garcia, The Guardian.

SW01, Computer Laboratory.

Wednesday 24 February 2016, 15:00-16:00

NLIP Seminar Series

What Happens Next? Event Prediction Using a Compositional Neural Network Model

Mark Granroth-Wilding, Computer Laboratory.

FW26, Computer Laboratory.

Friday 19 February 2016, 12:00-13:00

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

Machine Learning Reading Group @ CUED

Natural gradient descent and variational inference

Mark van der Wilk; Alex Matthews .

Engineering Department, CBL Room 438.

Thursday 18 February 2016, 14:30-16:00

NLIP Seminar Series

Modern Deep Learning through Bayesian Eyes

Yarin Gal, University of Cambridge.

FW26, Computer Laboratory.

Friday 12 February 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

Differentiable Data Structures and (if we have time) POMDPs

NOTE Topic Change

Yarin Gal; Rowan McAllister (University of Cambridge).

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

Multilingual Image Description with Neural Sequence Models

Eva Hasler, University of Cambridge.

FW26, Computer Laboratory.

Friday 05 February 2016, 12:00-13:00

NLIP Seminar Series

Sentence Entailment in Categorical Compositional Distributional Semantics

Esma Balkır.

FW26, Computer Laboratory.

Friday 29 January 2016, 12:00-13:00

Machine Learning Reading Group @ CUED

Random projection ensemble classification

Timothy Cannings.

Engineering Department, CBL Room 438.

Thursday 28 January 2016, 14:30-16:00

Machine Learning Reading Group @ CUED

Deep learning for time series

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

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Stochastic discrete integration

Adrian Weller;Nilesh Tripuraneni (University of Cambridge).

Engineering Department, CBL Room 438.

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

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

NLIP Seminar Series

Efficient Constrained Inference and Structured Neural Networks for Semantic Role Labeling

Oscar Täckström, Google.

FW26, Computer Laboratory.

Friday 04 December 2015, 12:00-13:00

NLIP Seminar Series

Lacking Integrity: HPSG as a Morphosyntactic Theory

Guy Edward Toh Emerson (University of Cambridge).

FW26, Computer Laboratory.

Friday 27 November 2015, 12:00-13:00

Machine Learning Reading Group @ CUED

Stochastic optimization and adaptive learning rates

Yingzhen Li (University of Cambridge); Mark Rowland.

Engineering Department, CBL Room 438.

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

Machine Learning Reading Group @ CUED

Logic, Theorem Proving, and Probabilistic Programming

Christian Steinruecken (University of Cambridge).

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

Motivation and learning in citizen science: The role of automatically generated feedback.

Advaith Siddharthan, University of Aberdeen.

FW26, Computer Laboratory.

Friday 13 November 2015, 12:00-13:00

Machine Learning Reading Group @ CUED

Connections between kernels, GPs, and NNs

Matthias Bauer (University of Cambridge); Paul Rubenstein.

Engineering Department, CBL Room 438.

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

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

NLIP Seminar Series

How much linguistics is needed for NLP?

Edward Grefenstette.

FW26, Computer Laboratory.

Friday 06 November 2015, 12:00-13:00

Machine Learning Reading Group @ CUED

Detecting paraphrases using recursive autoencoders

Feynman Liang.

Engineering Department, CBL Room 438.

Thursday 05 November 2015, 14:30-16:00

NLIP Seminar Series

Internal Seminar

Speaker to be confirmed.

FW26, Computer Laboratory.

Friday 30 October 2015, 12:00-13:00

Machine Learning Reading Group @ CUED

Bayesian optimization and its applications

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

Engineering Department, CBL Room 438.

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

NLIP Seminar Series

Internal Seminar

NLIP Postdocs and PhDs.

FW26, Computer Laboratory.

Friday 23 October 2015, 12:00-13:00

Machine Learning Reading Group @ CUED

LP relaxations for MAP inference

Adrian Weller (University of Cambridge).

Engineering Department, CBL Room 438.

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

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

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

NLIP Seminar Series

Understanding Word Embeddings

Omer Levy, Bar-Ilan University.

FW11, Computer Laboratory.

Tuesday 13 October 2015, 14:00-15:00

NLIP Seminar Series

Unweaving The Lexical Rainbow: Grounding Linguistic Creativity in Perceptual Semantics

We only have LT2 for the hour, so please don't enter before 1pm and don't be late for the talk, as it will start promptly at 1:05 and we'll have to leave before 2pm.

Tony Veale, University College Dublin.

LT2, Computer Laboratory.

Thursday 08 October 2015, 13:00-14:00

NLIP Seminar Series

Game of Tropes: Exploring the Placebo Effect in Computational Creativity

Tony Veale, University College Dublin.

FW26, Computer Laboratory.

Wednesday 07 October 2015, 16:00-17:00

NLIP Seminar Series

Joint A* Syntactic and Semantic Parsing for CCG

Mike Lewis, University of Washington.

FW26, Computer Laboratory.

Friday 25 September 2015, 12:00-13:00

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

NLIP Seminar Series

Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems

Shawn T-H. Wen, University of Cambridge.

FW26, Computer Laboratory.

Friday 11 September 2015, 12:30-13:00

NLIP Seminar Series

Learning Structural Kernels for Natural Language Processing

Daniel Beck, University of Sheffield.

FW26, Computer Laboratory.

Friday 11 September 2015, 12:00-12:30

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

NLIP Seminar Series

Cross-lingual transfer of a semantic parser via parallel data

Kilian Evang, University of Gronigen.

FW26, Computer Laboratory.

Friday 07 August 2015, 12:00-13:00

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

NLIP Seminar Series

Improving & Better Understanding Word Vector Representations

Manaal Faruqui, Carnegie Mellon University.

FW26, Computer Laboratory.

Friday 19 June 2015, 12:00-13:00

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

NLIP Seminar Series

Crowdsourcing the annotation of rumours in social media

Maria Liakata, University of Warwick.

FW26, Computer Laboratory.

Friday 12 June 2015, 12:00-13:00

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

NLIP Seminar Series

Natural Language Generation from Semantic Web Ontologies

Gerasimos Lampouras, UCL.

FW26, Computer Laboratory.

Friday 05 June 2015, 12:00-13:00

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