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A Stochastic Subgradient Method for Distributionally Robust Non-Convex
  Learning
v1v2v3 (latest)

A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning

8 June 2020
Mert Gurbuzbalaban
A. Ruszczynski
Landi Zhu
ArXiv (abs)PDFHTML

Papers citing "A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning"

4 / 4 papers shown
A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm
A Variance-Reduced Stochastic Accelerated Primal Dual Algorithm
Bugra Can
Mert Gurbuzbalaban
N. Aybat
267
5
0
19 Feb 2022
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
Non-convex Distributionally Robust Optimization: Non-asymptotic AnalysisNeural Information Processing Systems (NeurIPS), 2021
Jikai Jin
Samir Bhatt
Haiyang Wang
Liwei Wang
452
59
0
24 Oct 2021
Uncertainty Principles in Risk-Aware Statistical Estimation
Uncertainty Principles in Risk-Aware Statistical EstimationIEEE Conference on Decision and Control (CDC), 2021
Nikolas P. Koumpis
Dionysios S. Kalogerias
317
0
0
29 Apr 2021
Noisy Linear Convergence of Stochastic Gradient Descent for CV@R
  Statistical Learning under Polyak-Łojasiewicz Conditions
Noisy Linear Convergence of Stochastic Gradient Descent for CV@R Statistical Learning under Polyak-Łojasiewicz Conditions
Dionysios S. Kalogerias
380
9
0
14 Dec 2020
1
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