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Non-strongly-convex smooth stochastic approximation with convergence
  rate O(1/n)

Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)

10 June 2013
Francis R. Bach
Eric Moulines
ArXivPDFHTML

Papers citing "Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n)"

6 / 6 papers shown
Title
SGD with memory: fundamental properties and stochastic acceleration
SGD with memory: fundamental properties and stochastic acceleration
Dmitry Yarotsky
Maksim Velikanov
60
1
0
05 Oct 2024
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
63
5
0
26 May 2024
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
Shaan ul Haque
S. Khodadadian
S. T. Maguluri
82
11
0
31 Dec 2023
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
Tianyu Zhang
Jing Lei
77
1
0
18 Oct 2023
The Implicit Regularization of Stochastic Gradient Flow for Least
  Squares
The Implicit Regularization of Stochastic Gradient Flow for Least Squares
Alnur Ali
Yan Sun
Robert Tibshirani
56
77
0
17 Mar 2020
A Stochastic Gradient Method with an Exponential Convergence Rate for
  Finite Training Sets
A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets
Nicolas Le Roux
Mark Schmidt
Francis R. Bach
ODL
60
103
0
28 Feb 2012
1