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» Approximate Expectation Maximization
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159
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ESA
2010
Springer
246views Algorithms» more  ESA 2010»
15 years 1 months ago
Estimating the Average of a Lipschitz-Continuous Function from One Sample
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
Abhimanyu Das, David Kempe
BMCBI
2010
158views more  BMCBI 2010»
15 years 28 days ago
Validation of differential gene expression algorithms: Application comparing fold-change estimation to hypothesis testing
Background: Sustained research on the problem of determining which genes are differentially expressed on the basis of microarray data has yielded a plethora of statistical algorit...
Corey M. Yanofsky, David R. Bickel
113
Voted
CORR
2006
Springer
113views Education» more  CORR 2006»
15 years 25 days ago
A Unified View of TD Algorithms; Introducing Full-Gradient TD and Equi-Gradient Descent TD
This paper addresses the issue of policy evaluation in Markov Decision Processes, using linear function approximation. It provides a unified view of algorithms such as TD(), LSTD()...
Manuel Loth, Philippe Preux
CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 20 days ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
205
Voted
SIAMSC
2010
270views more  SIAMSC 2010»
14 years 11 months ago
High Order Numerical Methods to Three Dimensional Delta Function Integrals in Level Set Methods
In this paper we propose a class of high order numerical methods to delta function integrals appearing in level set methods in the three dimensional case by extending the idea for ...
Xin Wen