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» Rate of Convergence for Constrained Stochastic Approximation...
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ECML
2006
Springer
13 years 11 months ago
Constant Rate Approximate Maximum Margin Algorithms
We present a new class of perceptron-like algorithms with margin in which the "effective" learning rate, defined as the ratio of the learning rate to the length of the we...
Petroula Tsampouka, John Shawe-Taylor
SIAMMA
2011
97views more  SIAMMA 2011»
12 years 10 months ago
Convergence Rates for Greedy Algorithms in Reduced Basis Methods
The reduced basis method was introduced for the accurate online evaluation of solutions to a parameter dependent family of elliptic partial differential equations. ly, it can be ...
Peter Binev, Albert Cohen, Wolfgang Dahmen, Ronald...
MP
2002
101views more  MP 2002»
13 years 7 months ago
Componentwise fast convergence in the solution of full-rank systems of nonlinear equations
The asymptotic convergence of parameterized variants of Newton's method for the solution of nonlinear systems of equations is considered. The original system is perturbed by a...
Nicholas I. M. Gould, Dominique Orban, Annick Sart...
ICASSP
2011
IEEE
12 years 11 months ago
Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates
The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
Pascal Bianchi, Gersende Fort, Walid Hachem, J&eac...
ICS
1989
Tsinghua U.
13 years 11 months ago
Convergence rate and termination of asynchronous iterative algorithms
We consider iterative algorithms of the form z := f(z), executed by a parallel or distributed computing system. We focus on asynchronous implementations whereby each processor ite...
Dimitri P. Bertsekas, John N. Tsitsiklis