 | 2011 |
|---|
| 10 |       | Alexandra Carpentier,
Odalric-Ambrym Maillard,
Rémi Munos:
Sparse Recovery with Brownian Sensing.
NIPS 2011: 1782-1790 |
| 9 | | Odalric-Ambrym Maillard,
Rémi Munos,
Daniil Ryabko:
Selecting the State-Representation in Reinforcement Learning.
NIPS 2011: 2627-2635 |
| 8 | | Odalric-Ambrym Maillard,
Rémi Munos:
Adaptive Bandits: Towards the best history-dependent strategy.
Journal of Machine Learning Research - Proceedings Track 15: 570-578 (2011) |
| 7 | | Odalric-Ambrym Maillard,
Rémi Munos,
Gilles Stoltz:
A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences.
Journal of Machine Learning Research - Proceedings Track 19: 497-514 (2011) |
| 2010 |
|---|
| 6 | | Odalric-Ambrym Maillard,
Rémi Munos:
Online Learning in Adversarial Lipschitz Environments.
ECML/PKDD (2) 2010: 305-320 |
| 5 | | Odalric-Ambrym Maillard,
Rémi Munos:
Scrambled Objects for Least-Squares Regression.
NIPS 2010: 1549-1557 |
| 4 | | Mohammad Ghavamzadeh,
Alessandro Lazaric,
Odalric-Ambrym Maillard,
Rémi Munos:
LSTD with Random Projections.
NIPS 2010: 721-729 |
| 3 | | Odalric-Ambrym Maillard,
Rémi Munos,
Alessandro Lazaric,
Mohammad Ghavamzadeh:
Finite-sample Analysis of Bellman Residual Minimization.
Journal of Machine Learning Research - Proceedings Track 13: 299-314 (2010) |
| 2009 |
|---|
| 2 | | Odalric-Ambrym Maillard,
Nicolas Vayatis:
Complexity versus Agreement for Many Views.
ALT 2009: 232-246 |
| 1 | | Odalric-Ambrym Maillard,
Rémi Munos:
Compressed Least-Squares Regression.
NIPS 2009: 1213-1221 |
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