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» Gradient Convergence in Gradient methods with Errors
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SAC
2009
ACM
14 years 2 months ago
A gradient oriented recombination scheme for evolution strategies
This paper proposes a novel recombination scheme for evolutionary algorithms, which can guide the new population generation towards the maximum increase of the objective function....
Haifeng Chen, Guofei Jiang
JMLR
2006
124views more  JMLR 2006»
13 years 7 months ago
Policy Gradient in Continuous Time
Policy search is a method for approximately solving an optimal control problem by performing a parametric optimization search in a given class of parameterized policies. In order ...
Rémi Munos
NIPS
1994
13 years 8 months ago
Convergence Properties of the K-Means Algorithms
This paper studies the convergence properties of the well known K-Means clustering algorithm. The K-Means algorithm can be described either as a gradient descent algorithmor by sl...
Léon Bottou, Yoshua Bengio
MOC
2011
13 years 2 months ago
Analysis of HDG methods for Stokes flow
Abstract. In this paper, we analyze a hybridizable discontinuous Galerkin method for numerically solving the Stokes equations. The method uses polynomials of degree k for all the c...
Bernardo Cockburn, Jayadeep Gopalakrishnan, Ngoc C...
ICASSP
2011
IEEE
12 years 11 months ago
On gradient type adaptive filters with non-symmetric matrix step-sizes
—In this contribution we provide a thorough stability analysis of gradient type algorithms with non-symmetric matrix step-sizes. We hereby extend existing analyses for symmetric ...
Markus Rupp