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Unifying mirror descent and dual averaging
v1v2v3v4 (latest)

Unifying mirror descent and dual averaging

30 October 2019
A. Juditsky
Joon Kwon
Eric Moulines
ArXiv (abs)PDFHTML

Papers citing "Unifying mirror descent and dual averaging"

14 / 14 papers shown
Title
Primal-dual algorithm for contextual stochastic combinatorial optimization
Primal-dual algorithm for contextual stochastic combinatorial optimization
Louis Bouvier
Thibault Prunet
Vincent Leclère
Axel Parmentier
62
1
0
07 May 2025
Robust Methods for High-Dimensional Linear Learning
Robust Methods for High-Dimensional Linear Learning
Ibrahim Merad
Stéphane Gaïffas
OOD
91
3
0
10 Aug 2022
Asymptotic Consistency for Nonconvex Risk-Averse Stochastic Optimization
  with Infinite Dimensional Decision Spaces
Asymptotic Consistency for Nonconvex Risk-Averse Stochastic Optimization with Infinite Dimensional Decision Spaces
Johannes Milz
T. Surowiec
62
5
0
29 Jul 2022
Ensembling over Classifiers: a Bias-Variance Perspective
Ensembling over Classifiers: a Bias-Variance Perspective
Neha Gupta
Jamie Smith
Ben Adlam
Zelda E. Mariet
FedMLUQCVFaML
54
7
0
21 Jun 2022
Understanding the bias-variance tradeoff of Bregman divergences
Understanding the bias-variance tradeoff of Bregman divergences
Ben Adlam
Neha Gupta
Zelda E. Mariet
Jamie Smith
UQCVUD
86
7
0
08 Feb 2022
Learning Stationary Nash Equilibrium Policies in $n$-Player Stochastic
  Games with Independent Chains
Learning Stationary Nash Equilibrium Policies in nnn-Player Stochastic Games with Independent Chains
S. Rasoul Etesami
112
6
0
28 Jan 2022
Decentralized Composite Optimization in Stochastic Networks: A Dual
  Averaging Approach with Linear Convergence
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
Changxin Liu
Zirui Zhou
J. Pei
Yong Zhang
Yang Shi
63
10
0
26 Jun 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and
  Convergence to Nash Equilibrium
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
Yu-Guan Hsieh
Kimon Antonakopoulos
P. Mertikopoulos
82
77
0
26 Apr 2021
Parameter-free Stochastic Optimization of Variationally Coherent
  Functions
Parameter-free Stochastic Optimization of Variationally Coherent Functions
Francesco Orabona
Dávid Pál
82
19
0
30 Jan 2021
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity,
  and Optimism
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
Yu-Guan Hsieh
F. Iutzeler
J. Malick
P. Mertikopoulos
AI4CE
98
30
0
21 Dec 2020
Dual Averaging is Surprisingly Effective for Deep Learning Optimization
Dual Averaging is Surprisingly Effective for Deep Learning Optimization
Samy Jelassi
Aaron Defazio
54
5
0
20 Oct 2020
Online mirror descent and dual averaging: keeping pace in the dynamic
  case
Online mirror descent and dual averaging: keeping pace in the dynamic case
Huang Fang
Nicholas J. A. Harvey
V. S. Portella
M. Friedlander
80
34
0
03 Jun 2020
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent
Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent
Suriya Gunasekar
Blake E. Woodworth
Nathan Srebro
MDE
101
30
0
02 Apr 2020
Stochastic Approximation versus Sample Average Approximation for
  population Wasserstein barycenters
Stochastic Approximation versus Sample Average Approximation for population Wasserstein barycenters
D. Dvinskikh
66
11
0
21 Jan 2020
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