Learning Theoretic and Bayesian Inductive Principles

Schedule of Presentations

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SCHEDULE
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Day 1 - Monday 19 July

11:00 - 12:30	A Philip Dawid   Bayesian and Prequential Inference for Model Selection

12:30 - 2:00	lunch

2:00  -	3:30	Paul Vitanyi     Extracting Meaning with Kolmogorov and Shannon

3:30  - 4:00	break

4:00  - 4:45	Sham Kakade      Online Bounds for Bayesian Algorithms

4:45  - 5:30	Marcus Hutter    Online Prediction - Bayes versus Experts

7:00		dinner

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Day 2 - Tuesday 20 July

9:00  - 10:30	John Langford    The precise role of "bias" or "prior" in sample complexity bounds
                                   and
                                 Suboptimal Behavior of Bayes (and MDL) under a Misspecified Prior

10:30 - 11:00	break

11:00 - 12:30	Olivier Catoni   Transductive PAC-Bayesian classification

12:30 - 2:00	lunch

2:00  - 3:30	David MacKay     TBA

3:30  - 4:00	break

4:00  - 4:45	Jan Poland       Online Methods in Learning Theory

4:45  - 5:30	Joel Ratsaby     A Sharp Threshold Result for VC-Classes of Large-Margin Functions

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Day 3 - Wednesday 21 July

9:00  - 10:30	Claudio Gentile  TBA 

11:00 - 11:30	break

11:00 - 12:30	Gabor Lugosi     Sequential prediction under limited feedback

12:30 - 2:00	lunch

2:00  - 2:45	Amiran Ambroldaze Rademacher Complexity and Lipschitz Functions

2:45  - 4:15	Peter Bartlett    TBA

4:15  - 5:00	discussion and close