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A First-Order Algorithmic Framework for Wasserstein Distributionally
  Robust Logistic Regression

A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression

28 October 2019
Jiajin Li
Sen Huang
Anthony Man-Cho So
    OOD
ArXivPDFHTML

Papers citing "A First-Order Algorithmic Framework for Wasserstein Distributionally Robust Logistic Regression"

5 / 5 papers shown
Title
Partial Identification with Noisy Covariates: A Robust Optimization
  Approach
Partial Identification with Noisy Covariates: A Robust Optimization Approach
Wenshuo Guo
Mingzhang Yin
Yixin Wang
Michael I. Jordan
31
19
0
22 Feb 2022
Sinkhorn Distributionally Robust Optimization
Sinkhorn Distributionally Robust Optimization
Jie Wang
Rui Gao
Yao Xie
46
35
0
24 Sep 2021
A Distributionally Robust Approach to Fair Classification
A Distributionally Robust Approach to Fair Classification
Bahar Taşkesen
Viet Anh Nguyen
Daniel Kuhn
Jose H. Blanchet
FaML
28
61
0
18 Jul 2020
Robust Optimization for Fairness with Noisy Protected Groups
Robust Optimization for Fairness with Noisy Protected Groups
S. Wang
Wenshuo Guo
Harikrishna Narasimhan
Andrew Cotter
Maya R. Gupta
Michael I. Jordan
NoLa
27
118
0
21 Feb 2020
A Proximal Stochastic Gradient Method with Progressive Variance
  Reduction
A Proximal Stochastic Gradient Method with Progressive Variance Reduction
Lin Xiao
Tong Zhang
ODL
93
737
0
19 Mar 2014
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