ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2503.19942
  4. Cited By
A stochastic gradient descent algorithm with random search directions
v1v2 (latest)

A stochastic gradient descent algorithm with random search directions

25 March 2025
Eméric Gbaguidi
    ODL
ArXiv (abs)PDFHTML

Papers citing "A stochastic gradient descent algorithm with random search directions"

12 / 12 papers shown
Title
On the SAGA algorithm with decreasing step
On the SAGA algorithm with decreasing step
Luis Fredes
Bernard Bercu
Eméric Gbaguidi
51
1
0
02 Oct 2024
SGD with Coordinate Sampling: Theory and Practice
SGD with Coordinate Sampling: Theory and Practice
Rémi Leluc
Franccois Portier
56
6
0
25 May 2021
Online Statistical Inference for Stochastic Optimization via
  Kiefer-Wolfowitz Methods
Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods
Xi Chen
Zehua Lai
He Li
Yichen Zhang
48
16
0
05 Feb 2021
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and
  Coordinate Descent
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent
Eduard A. Gorbunov
Filip Hanzely
Peter Richtárik
103
147
0
27 May 2019
An efficient stochastic Newton algorithm for parameter estimation in
  logistic regressions
An efficient stochastic Newton algorithm for parameter estimation in logistic regressions
Bernard Bercu
Antoine Godichon
Bruno Portier
44
23
0
16 Apr 2019
Asymptotic distribution and convergence rates of stochastic algorithms
  for entropic optimal transportation between probability measures
Asymptotic distribution and convergence rates of stochastic algorithms for entropic optimal transportation between probability measures
Bernard Bercu
Jérémie Bigot
58
19
0
21 Dec 2018
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
Zeyuan Allen-Zhu
Zheng Qu
Peter Richtárik
Yang Yuan
79
171
0
30 Dec 2015
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than
  Random Selection
Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection
J. Nutini
Mark Schmidt
I. Laradji
M. Friedlander
H. Koepke
75
224
0
01 Jun 2015
Stochastic Gradient Descent, Weighted Sampling, and the Randomized
  Kaczmarz algorithm
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm
Deanna Needell
Nathan Srebro
Rachel A. Ward
151
555
0
21 Oct 2013
On Optimal Probabilities in Stochastic Coordinate Descent Methods
On Optimal Probabilities in Stochastic Coordinate Descent Methods
Peter Richtárik
Martin Takáč
95
130
0
13 Oct 2013
Adaptivity of averaged stochastic gradient descent to local strong
  convexity for logistic regression
Adaptivity of averaged stochastic gradient descent to local strong convexity for logistic regression
Francis R. Bach
96
165
0
25 Mar 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss
  Minimization
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
Shai Shalev-Shwartz
Tong Zhang
187
1,033
0
10 Sep 2012
1