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153
Voted
COLT
2006
Springer
15 years 7 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...
130
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CI
2010
15 years 3 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...
131
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ML
2007
ACM
15 years 3 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...
119
Voted
ICCAD
2009
IEEE
15 years 1 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...
126
Voted
COLT
2008
Springer
15 years 5 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...