International Conference on Machine Learning June 26–July 1, 2012 — Edinburgh, Scotland

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