Deep Learning Summer School (DLSS)


Saturday, July 28
Sanjeev Arora

Optimization I
Jimmy Ba

Optimization II
Jorge Nocedal


Monday, July 30

Yoshua Bengio

Language Understanding
Graham Neubig

Multimodel Learning
Jamie Kiros


Tuesday, July 31

Computational Neuroscience
Blake Richards

Bayesian Neural Nets
Andrew Wilson



Wednesday, July 25
Introduction to Machine Learning
Katherine Heller

Neural Networks I
Hugo Larochelle 


Thursday, July 26

Neural Networks II
Hugo Larochelle

Introduction to CNN’s
Jonathon Shlens



Friday, July 27

Generative Models I
David Duvenaud

Generative Models II
Phil Isola

Been Kim



Reinforcement Learning Summer School (RLSS)


Wednesday, August 1

Introduction to RL and TD
Richard Sutton

Policy Search
Sergey Levine

Batch RL and ADP
Amir-Massoud Farahmand

Off-Policy Learning
Martha White


Thursday, August 2

Prediction Machines: The Simple Economics of Artificial Intelligence
Ajay Agrawal

Bandits and Explore/Exploit in RL
Tor Lattimore

Temporal Abstraction
Doina Precup

Multi-task and Transfer in RL
Emma Brunskill


Friday, August 3

Deep RL
Marc Belleare

Imitation Learning
Hal Daume III

Safety in RL
Mohammad Ghavamzadeh

Multi-agent RL
Michael Bowling


Go to top of page