ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1909.08375
  4. Cited By
Advancing subgroup fairness via sleeping experts

Advancing subgroup fairness via sleeping experts

18 September 2019
Avrim Blum
Thodoris Lykouris
    FedML
ArXivPDFHTML

Papers citing "Advancing subgroup fairness via sleeping experts"

12 / 12 papers shown
Title
Oracle Efficient Online Multicalibration and Omniprediction
Oracle Efficient Online Multicalibration and Omniprediction
Sumegha Garg
Christopher Jung
Omer Reingold
Aaron Roth
23
18
0
18 Jul 2023
Group conditional validity via multi-group learning
Samuel Deng
Navid Ardeshir
Daniel J. Hsu
35
1
0
07 Mar 2023
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
Metric Entropy Duality and the Sample Complexity of Outcome
  Indistinguishability
Metric Entropy Duality and the Sample Complexity of Outcome Indistinguishability
Lunjia Hu
Charlotte Peale
Omer Reingold
21
5
0
09 Mar 2022
Low-Degree Multicalibration
Low-Degree Multicalibration
Parikshit Gopalan
Michael P. Kim
M. Singhal
Shengjia Zhao
FaML
UQCV
22
37
0
02 Mar 2022
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via
  Disqualification
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification
G. Rothblum
G. Yona
FaML
30
1
0
02 Oct 2021
Omnipredictors
Omnipredictors
Parikshit Gopalan
Adam Tauman Kalai
Omer Reingold
Vatsal Sharan
Udi Wieder
33
47
0
11 Sep 2021
Online Minimax Multiobjective Optimization: Multicalibeating and Other
  Applications
Online Minimax Multiobjective Optimization: Multicalibeating and Other Applications
Daniel Lee
Georgy Noarov
Mallesh M. Pai
Aaron Roth
19
13
0
09 Aug 2021
Multi-group Agnostic PAC Learnability
Multi-group Agnostic PAC Learnability
G. Rothblum
G. Yona
FaML
36
38
0
20 May 2021
Fairness of Exposure in Stochastic Bandits
Fairness of Exposure in Stochastic Bandits
Lequn Wang
Yiwei Bai
Wen Sun
Thorsten Joachims
FaML
24
49
0
03 Mar 2021
Outcome Indistinguishability
Outcome Indistinguishability
Cynthia Dwork
Michael P. Kim
Omer Reingold
G. Rothblum
G. Yona
22
61
0
26 Nov 2020
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,091
0
24 Oct 2016
1