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Stochastic Approximation Approaches to Group Distributionally Robust
  Optimization

Stochastic Approximation Approaches to Group Distributionally Robust Optimization

18 February 2023
Lijun Zhang
Peng Zhao
Zhen-Hua Zhuang
Tianbao Yang
Zhihong Zhou
ArXivPDFHTML

Papers citing "Stochastic Approximation Approaches to Group Distributionally Robust Optimization"

3 / 3 papers shown
Title
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Beyond Minimax Rates in Group Distributionally Robust Optimization via a Novel Notion of Sparsity
Quan Nguyen
Nishant A. Mehta
Cristóbal Guzmán
34
0
0
01 Oct 2024
Learnability with Time-Sharing Computational Resource Concerns
Learnability with Time-Sharing Computational Resource Concerns
Zhiwei Zhou
16
7
0
03 May 2023
On-Demand Sampling: Learning Optimally from Multiple Distributions
On-Demand Sampling: Learning Optimally from Multiple Distributions
Nika Haghtalab
Michael I. Jordan
Eric Zhao
FedML
37
34
0
22 Oct 2022
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