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Ergodic Mirror Descent

Ergodic Mirror Descent

24 May 2011
John C. Duchi
Alekh Agarwal
M. Johansson
Michael I. Jordan
ArXivPDFHTML

Papers citing "Ergodic Mirror Descent"

4 / 4 papers shown
Title
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
S. Samsonov
Eric Moulines
Qi-Man Shao
Zhuo-Song Zhang
Alexey Naumov
71
5
0
26 May 2024
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss
Ingvar M. Ziemann
Stephen Tu
George J. Pappas
Nikolai Matni
67
9
0
08 Feb 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
Sobihan Surendran
Antoine Godichon-Baggioni
Adeline Fermanian
Sylvain Le Corff
77
2
0
05 Feb 2024
On Rademacher Complexity-based Generalization Bounds for Deep Learning
On Rademacher Complexity-based Generalization Bounds for Deep Learning
Lan V. Truong
MLT
76
13
0
08 Aug 2022
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