2009 |
10 | EE | Jacob Abernethy,
Alekh Agarwal,
Peter L. Bartlett,
Alexander Rakhlin:
A Stochastic View of Optimal Regret through Minimax Duality
CoRR abs/0903.5328: (2009) |
2008 |
9 | EE | Jacob Abernethy,
Elad Hazan,
Alexander Rakhlin:
Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization.
COLT 2008: 263-274 |
8 | EE | Peter L. Bartlett,
Varsha Dani,
Thomas P. Hayes,
Sham Kakade,
Alexander Rakhlin,
Ambuj Tewari:
High-Probability Regret Bounds for Bandit Online Linear Optimization.
COLT 2008: 335-342 |
7 | EE | Jacob Abernethy,
Peter L. Bartlett,
Alexander Rakhlin,
Ambuj Tewari:
Optimal Stragies and Minimax Lower Bounds for Online Convex Games.
COLT 2008: 415-424 |
6 | EE | Sanjit A. Seshia,
Alexander Rakhlin:
Game-theoretic timing analysis.
ICCAD 2008: 575-582 |
2007 |
5 | EE | Jacob Abernethy,
Peter L. Bartlett,
Alexander Rakhlin:
Multitask Learning with Expert Advice.
COLT 2007: 484-498 |
4 | EE | Alexander Rakhlin,
Jacob Abernethy,
Peter L. Bartlett:
Online discovery of similarity mappings.
ICML 2007: 767-774 |
3 | EE | Peter L. Bartlett,
Elad Hazan,
Alexander Rakhlin:
Adaptive Online Gradient Descent.
NIPS 2007 |
2006 |
2 | EE | Alexander Rakhlin,
Andrea Caponnetto:
Stability of $K$-Means Clustering.
NIPS 2006: 1121-1128 |
1 | EE | Andrea Caponnetto,
Alexander Rakhlin:
Stability Properties of Empirical Risk Minimization over Donsker Classes.
Journal of Machine Learning Research 6: 2565-2583 (2006) |