COLT/ICML 2012 Tutorials

Tuesday 26, starting at 09:00

1. Statistical Learning Theory in Reinforcement Learning and Approximate Dynamic Programming

   Alessandro Lazaric and Mohammad Ghavamzadeh

   Venue: AT LT4, 09:00–11:30

2. Probabilistic Topic Models

   David Blei

   Venue: AT LT5, 09:00-11:30

3. Performance Evaluation for Learning Algorithms: Techniques, Application and Issues

   Nathalie Japkowicz and Mohak Shah

   Venue: AT LT1, 09:00-11:30

Tuesday 26, starting at 12:30

1. Mirror Descent and Saddle Point First Order Algorithms

   Arkadi Nemirovski (COLT invited speaker)

   Venue: AT LT4, 12:30–13:30

2. Representation Learning

   Yoshua Bengio

   Venue: AT LT5, 12:30–15:00

3. Prediction, Belief, and Markets

   Jennifer Wortman Vaughan and Jacob Abernethy

   Venue: AT LT1, 12:30–15:00

Tuesday 26, starting at 15:30

1. PAC-Bayesian Analysis in Supervised, Unsupervised, and Reinforcement Learning

   Yevgeny Seldin, François Laviolette and John Shawe-Taylor

   Venue: AT LT1, 15:30–18:00

2. Causal Inference – Conditional Independence and Beyond

   Dominik Janzing and Bernhard Schölkopf

   Venue: AT LT4, 15:30–18:00

3. Spectral Approaches to Learning Latent Variable Models

   Geoffrey J. Gordon, Le Song and Byron Boots

   Venue: AT LT5, 15:30–18:00