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Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization
  under Infinite Noise Variance

Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance

23 February 2022
Nuri Mert Vural
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
ArXivPDFHTML

Papers citing "Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance"

13 / 13 papers shown
Title
Heavy-tailed Streaming Statistical Estimation
Heavy-tailed Streaming Statistical Estimation
Che-Ping Tsai
Adarsh Prasad
Sivaraman Balakrishnan
Pradeep Ravikumar
49
10
0
25 Aug 2021
Convergence Rates of Stochastic Gradient Descent under Infinite Noise
  Variance
Convergence Rates of Stochastic Gradient Descent under Infinite Noise Variance
Hongjian Wang
Mert Gurbuzbalaban
Lingjiong Zhu
Umut cSimcsekli
Murat A. Erdogdu
52
42
0
20 Feb 2021
On Monte-Carlo methods in convex stochastic optimization
On Monte-Carlo methods in convex stochastic optimization
Daniel Bartl
S. Mendelson
38
8
0
19 Jan 2021
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep
  Neural Networks
On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks
Umut Simsekli
Mert Gurbuzbalaban
T. H. Nguyen
G. Richard
Levent Sagun
61
58
0
29 Nov 2019
Algorithms of Robust Stochastic Optimization Based on Mirror Descent
  Method
Algorithms of Robust Stochastic Optimization Based on Mirror Descent Method
A. Juditsky
A. Nazin
A. S. Nemirovsky
Alexandre B. Tsybakov
34
64
0
05 Jul 2019
Mean estimation and regression under heavy-tailed distributions--a
  survey
Mean estimation and regression under heavy-tailed distributions--a survey
Gabor Lugosi
S. Mendelson
90
242
0
10 Jun 2019
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural
  Networks
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks
Umut Simsekli
Levent Sagun
Mert Gurbuzbalaban
82
247
0
18 Jan 2019
An Introductory Guide to Fano's Inequality with Applications in
  Statistical Estimation
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation
Jonathan Scarlett
Volkan Cevher
75
40
0
02 Jan 2019
Mean Estimation with Sub-Gaussian Rates in Polynomial Time
Mean Estimation with Sub-Gaussian Rates in Polynomial Time
Samuel B. Hopkins
45
80
0
19 Sep 2018
Online estimation of the geometric median in Hilbert spaces : non
  asymptotic confidence balls
Online estimation of the geometric median in Hilbert spaces : non asymptotic confidence balls
H. Cardot
P. Cénac
Antoine Godichon
119
55
0
27 Jan 2015
Optimal rates for first-order stochastic convex optimization under
  Tsybakov noise condition
Optimal rates for first-order stochastic convex optimization under Tsybakov noise condition
Aaditya Ramdas
Aarti Singh
50
31
0
12 Jul 2012
Ergodic Mirror Descent
Ergodic Mirror Descent
John C. Duchi
Alekh Agarwal
M. Johansson
Michael I. Jordan
168
125
0
24 May 2011
Information-theoretic lower bounds on the oracle complexity of
  stochastic convex optimization
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
Alekh Agarwal
Peter L. Bartlett
Pradeep Ravikumar
Martin J. Wainwright
177
250
0
03 Sep 2010
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