```
Rich Sutton locked out of the RL workshop at #nips2015 because it's too full :) pic.twitter.com/VutJwIAYW0
— Nando de Freitas (@NandoDF) December 11, 2015
```

As NIPS sessions have to turn away people, here are some videos of ICML this past summer. A month ago we mentioned some of these videos but here are some new ones:

## Tutorials | |||||

## Welcome Address | |||||

## Keynote Speakers | |||||

## Awards | |||||

## Deep Learning I | |||||

## Bayesian Nonparametrics I | |||||

## Reinforcement Learning I | |||||

## Learning Theory I | |||||

## Supervised Learning I | |||||

## Deep Learning Computations | |||||

## Matrix Factorization | |||||

## Sparsity I | |||||

## Optimization I | |||||

## Structured Prediction I | |||||

## Reinforcement Learning II | |||||

## Gaussian Processes I | |||||

## Transfer Learning I | |||||

## Networks and Graphs I | |||||

## Deep Learning II | |||||

## Networks and Graphs II | |||||

## Online Learning I | |||||

## Probabilistic Models I | |||||

## Learning Theory II | |||||

## Transfer Learning II | |||||

## Deep Learning and Vision | |||||

## Variational Inference | |||||

## Structured Prediction II | |||||

## Gaussian Processes II | |||||

## Monte Carlo Methods | |||||

## Hashing | |||||

## Feature Selection I | |||||

## Kernel Methods | |||||

## Computational Advertising and Social Science | |||||

## Optimization II | |||||

## Approximate Inference I | |||||

## Bayesian Nonparametrics II | |||||

## Time Series Analysis I | |||||

## Feature Selection II | |||||

## Unsupervised Learning I | |||||

## Optimization III | |||||

## Probabilistic Models II | |||||

## Natural Language Processing I | |||||

## Submodularity | |||||

## Online Learning II | |||||

## Unsupervised Learning II | |||||

## Deep Learning III | |||||

## Supervised Learning II | |||||

## Reinforcement Learning IV | |||||

## Optimization IV | |||||

## Bayesian Nonparametrics III | |||||

## Sparsity II | |||||

## Clustering I | |||||

## Vision | |||||

## Sparse optimization | |||||

## Approximate Inference II | |||||

## Natural Language Processing II | |||||

## Time Series Analysis II | |||||

## Clustering II | |||||

## Learning Theory III | |||||

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