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CORR
2010
Springer
128views Education» more  CORR 2010»
15 years 2 months ago
Optimal Auctions with Correlated Bidders are Easy
We consider the problem of designing a revenue-maximizing auction for a single item, when the values of the bidders are drawn from a correlated distribution. We observe that there...
Shahar Dobzinski, Hu Fu, Robert Kleinberg
CORR
2006
Springer
140views Education» more  CORR 2006»
15 years 4 months ago
Nearly optimal exploration-exploitation decision thresholds
While in general trading off exploration and exploitation in reinforcement learning is hard, under some formulations relatively simple solutions exist. Optimal decision thresholds ...
Christos Dimitrakakis
ASPDAC
2008
ACM
104views Hardware» more  ASPDAC 2008»
15 years 6 months ago
Variability-driven module selection with joint design time optimization and post-silicon tuning
Abstract-- Increasing delay and power variation are significant challenges to the designers as technology scales to the deep sub-micron (DSM) regime. Traditional module selection t...
Feng Wang 0004, Xiaoxia Wu, Yuan Xie
173
Voted
DEXAW
2010
IEEE
196views Database» more  DEXAW 2010»
15 years 5 months ago
Direct Optimization of Evaluation Measures in Learning to Rank Using Particle Swarm
— One of the central issues in Learning to Rank (L2R) for Information Retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures ...
Ósscar Alejo, Juan M. Fernández-Luna...
JMLR
2006
108views more  JMLR 2006»
15 years 4 months ago
The Interplay of Optimization and Machine Learning Research
The fields of machine learning and mathematical programming are increasingly intertwined. Optimization problems lie at the heart of most machine learning approaches. The Special T...
Kristin P. Bennett, Emilio Parrado-Hernánde...