| Wednesday, | May 31 |
| 09:00 - 09:55 | Registration and coffee-break |
| 09:55 - 10:00 | Opening remarks |
| 10:00 - 10:50 | Emmanuel Candes |
| The Dantzig Selector: Statistical Estimation when p is Larger than n | |
| 11:00 - 11:30 | Coffee-break |
| 11:30 - 12:20 | Franck Barthe |
| About Talagrand's Concentration Inequality for Exponential Measures | |
| 12:30 - 14:30 | Lunch break |
| 14:30 - 15:20 | Dean Foster |
| Deterministic Calibration and Nash Equilibrium | |
| 15:30 - 16:20 | Neri Merhav |
| On Context-tree Prediction of Individual Sequences | |
| 16:30 - 17:00 | Coffee-break |
| 17:00 - 17:50 | Peter Grünwald |
| Suboptimality of MDL and Bayes in Classification under Misspecification | |
| 18:00 - 19:30 | Poster session (check the abstracts at the end of this file) |
| 19:30 - 21:30 | Light welcoming buffet |
| Thursday, | June 1 |
| 09:00 - 09:50 | Ofer Zeitouni |
| A Correlation Inequality for Nonlinear Reconstruction | |
| 10:00 - 10:30 | Coffee-break |
| 10:30 - 11:20 | Ehud Lehrer |
| Bayesian and Non-Bayesian Learning in Games | |
| 11:30 - 12:20 | Ingo Steinwart |
| Learning from Dependent Observations | |
| 12:30 - 14:30 | Lunch break |
| 14:30 - 15:20 | Z.D. Bai |
| Statistical Analysis for Rounding Data | |
| 15:30 - 16:20 | Shie Mannor |
| An Isoperimetric Inequality with Applications to Learning | |
| 16:30 - 17:00 | Coffee-break |
| Friday, | June 2 |
| 09:00 - 09:50 | John Shawe-Taylor |
| Statistical Analysis of Subspace Methods and Associated Learning Algorithms | |
| 10:00 - 10:30 | Coffee-break |
| 10:30 - 11:20 | Tong Zhang |
| Theory and Algorithms for Large Scaling Ranking Problems | |
| 11:30 - 12:20 | Vladimir Koltchinskii |
| Sparsity in High-Dimensional Learning Problems | |
| 12:30 - 14:30 | Lunch break |
| 14:30 - 15:20 | Jean-Philippe Vert |
| Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Kernel | |
| 15:30 - 16:20 | Nicolò Cesa-Bianchi |
| Learning and Randomization | |
| 16:30 - 17:00 | Coffee-break |
| 17:00 - 17:50 | Vladimir Temlyakov |
| On Optimal and Universal Estimators in Learning Theory | |
| Saturday, | June 3 |
| 10:00 - 10:30 | Coffee-break |
| 10:30 - 12:00 | Nathan Linial |
| Complexity of Sign Matrices and its Many Aspects | |
| 12:00 - 14:00 | Buffet lunch |
| 14:00 - 14:50 | Nicolas Vayatis |
| Is There Life beyond the Classification Problem? | |
| 15:00 - 15:50 | Peter Bartlett |
| Asymptotic Properties of Convex Optimization Methods for Multiclass Classification | |
| 16:00 - 17:00 | Final coffee-break |