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» Optimizing efficiency of perturbative Monte Carlo method
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78
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NIPS
2001
14 years 11 months ago
Variance Reduction Techniques for Gradient Estimates in Reinforcement Learning
Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 1 months ago
Epsilon-constraint with an efficient cultured differential evolution
In this paper we present the use of a previously developed single-objective optimization approach, together with the -constraint method, to provide an approximation of the Pareto ...
Ricardo Landa Becerra, Carlos A. Coello Coello
ICCAD
2004
IEEE
145views Hardware» more  ICCAD 2004»
15 years 6 months ago
Asymptotic probability extraction for non-normal distributions of circuit performance
While process variations are becoming more significant with each new IC technology generation, they are often modeled via linear regression models so that the resulting performanc...
Xin Li, Jiayong Le, Padmini Gopalakrishnan, Lawren...
70
Voted
RECOMB
2004
Springer
15 years 10 months ago
The Statistical Significance of Max-Gap Clusters
Identifying gene clusters, genomic regions that share local similarities in gene organization, is a prerequisite for many different types of genomic analyses, including operon pred...
Rose Hoberman, David Sankoff, Dannie Durand
TKDE
2012
199views Formal Methods» more  TKDE 2012»
13 years 2 days ago
Subscriber Assignment for Wide-Area Content-Based Publish/Subscribe
— We study the problem of assigning subscribers to brokers in a wide-area content-based publish/subscribe system. A good assignment should consider both subscriber interests in t...
Albert Yu, Pankaj K. Agarwal, Jun Yang