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» Optimization by Stochastic Continuation
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WSC
2001
13 years 9 months ago
Global random optimization by simultaneous perturbation stochastic approximation
We examine the theoretical and numerical global convergence properties of a certain "gradient free" stochastic approximation algorithm called the "simultaneous pertu...
John L. Maryak, Daniel C. Chin
APCSAC
2004
IEEE
13 years 11 months ago
Continuous Adaptive Object-Code Re-optimization Framework
Dynamic optimization presents opportunities for finding run-time bottlenecks and deploying optimizations in statically compiled programs. In this paper, we discuss our current impl...
Howard Chen, Jiwei Lu, Wei-Chung Hsu, Pen-Chung Ye...
ICAART
2010
INSTICC
14 years 4 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis
ICALP
2007
Springer
14 years 1 months ago
Commitment Under Uncertainty: Two-Stage Stochastic Matching Problems
Abstract. We define and study two versions of the bipartite matching problem in the framework of two-stage stochastic optimization with recourse. In one version the uncertainty is...
Irit Katriel, Claire Kenyon-Mathieu, Eli Upfal
CCE
2004
13 years 7 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff