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COLT
2006
Springer
14 years 1 months ago
2006
Springer
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
CI
2010
13 years 10 months ago
2010
Some domains, such as real-time strategy (RTS) games, pose several challenges to traditional planning and machine learning techniques. In this paper, we present a novel on-line ca...
ML
2007
ACM
13 years 9 months ago
2007
ACM
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
ICCAD
2009
IEEE
13 years 7 months ago
2009
IEEE
Very thorough online self-test is essential for overcoming major reliability challenges such as early-life failures and transistor aging in advanced technologies. This paper demon...
COLT
2008
Springer
13 years 12 months ago
2008
Springer
We introduce an efficient algorithm for the problem of online linear optimization in the bandit setting which achieves the optimal O ( T) regret. The setting is a natural general...