Machine Learning Lunches - Oxford Talks

Machine Learning Lunches

A lunchtime reading group on machine learning, hosted by the departments of Engineering Science, Statistics and Computer Science.

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Don’t forget to bring your lunch with you!

Type: Seminar Series

Wednesday 25 February 2015 (6th Week, Hilary Term)

13:00 - Unbiased Bayes for Big Data: Paths of Partial Posteriors
Heiko Strathmann (Gatsby UCL)

Wednesday 11 March 2015 (8th Week, Hilary Term)

13:00 - Move Evaluation in Go Using Deep Convolutional Neural Networks
Chris J. Maddison (University of Toronto)

Wednesday 29 April 2015 (1st Week, Trinity Term)

13:00 - Reading "MADE: Masked Autoencoder for Distribution Estimation", by Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
Yishu Miao (University of Oxford)

Wednesday 6 May 2015 (2nd Week, Trinity Term)

13:00 - Compress and Control: A generative approach to reinforcement learning
Marc Bellemare (Google DeepMind), Joel Veness (Google DeepMind)

Wednesday 20 May 2015 (4th Week, Trinity Term)

13:00 - "Learning Stochastic Inverses", a presentation of the paper by Andreas Stuhlmüller, Jessica Taylor and Noah D. Goodman
Frauke Harms (University of Oxford)

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Editors: Iurii Perov, Anne Bowtell, Andrew Haith

This series features in the following public collections: