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» Regret Bounds for Prediction Problems
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PODC
2009
ACM
14 years 10 months ago
Load balancing without regret in the bulletin board model
We analyze the performance of protocols for load balancing in distributed systems based on no-regret algorithms from online learning theory. These protocols treat load balancing a...
Éva Tardos, Georgios Piliouras, Robert D. K...
COLT
2008
Springer
13 years 11 months ago
An Efficient Reduction of Ranking to Classification
This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most t...
Nir Ailon, Mehryar Mohri
CORR
2010
Springer
187views Education» more  CORR 2010»
13 years 10 months ago
Learning in A Changing World: Non-Bayesian Restless Multi-Armed Bandit
We consider the restless multi-armed bandit (RMAB) problem with unknown dynamics. In this problem, at each time, a player chooses K out of N (N > K) arms to play. The state of ...
Haoyang Liu, Keqin Liu, Qing Zhao
ICML
2009
IEEE
14 years 10 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
ICML
2010
IEEE
13 years 7 months ago
Online Prediction with Privacy
In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss at each time while the loss cannot be disclosed to others fo...
Jun Sakuma, Hiromi Arai