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Multicalibrated Regression for Downstream Fairness

Multicalibrated Regression for Downstream Fairness

15 September 2022
Ira Globus-Harris
Varun Gupta
Christopher Jung
Michael Kearns
Jamie Morgenstern
Aaron Roth
    FaML
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Papers citing "Multicalibrated Regression for Downstream Fairness"

3 / 3 papers shown
Title
Model Ensembling for Constrained Optimization
Model Ensembling for Constrained Optimization
Ira Globus-Harris
Varun Gupta
Michael Kearns
Aaron Roth
38
0
0
27 May 2024
Omnipredictors for Regression and the Approximate Rank of Convex
  Functions
Omnipredictors for Regression and the Approximate Rank of Convex Functions
Parikshit Gopalan
Princewill Okoroafor
Prasad Raghavendra
Abhishek Shetty
Mihir Singhal
43
6
0
26 Jan 2024
Comparative Learning: A Sample Complexity Theory for Two Hypothesis
  Classes
Comparative Learning: A Sample Complexity Theory for Two Hypothesis Classes
Lunjia Hu
Charlotte Peale
43
6
0
16 Nov 2022
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