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FAIRM: Learning invariant representations for algorithmic fairness and
  domain generalization with minimax optimality

FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality

2 April 2024
Sai Li
Linjun Zhang
    OOD
    FaML
ArXivPDFHTML

Papers citing "FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality"

4 / 4 papers shown
Title
HappyMap: A Generalized Multi-calibration Method
HappyMap: A Generalized Multi-calibration Method
Zhun Deng
Cynthia Dwork
Linjun Zhang
66
17
0
08 Mar 2023
Environment Invariant Linear Least Squares
Environment Invariant Linear Least Squares
Jianqing Fan
Cong Fang
Yihong Gu
Tong Zhang
OOD
59
12
0
06 Mar 2023
Evaluating Fairness of Machine Learning Models Under Uncertain and
  Incomplete Information
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
FaML
54
55
0
16 Feb 2021
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
185
125
0
04 Jan 2021
1