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Fair Active Learning in Low-Data Regimes

Fair Active Learning in Low-Data Regimes

13 December 2023
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin Jamieson
    FaML
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Papers citing "Fair Active Learning in Low-Data Regimes"

4 / 4 papers shown
Title
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness
  on Fair Clustering
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering
R. Fajri
A. Saxena
Yulong Pei
Mykola Pechenizkiy
FaML
33
2
0
21 Sep 2022
Adaptive Sampling Strategies to Construct Equitable Training Datasets
Adaptive Sampling Strategies to Construct Equitable Training Datasets
William Cai
R. Encarnación
Bobbie Chern
S. Corbett-Davies
Miranda Bogen
Stevie Bergman
Sharad Goel
89
30
0
31 Jan 2022
Adaptive Sampling for Minimax Fair Classification
Adaptive Sampling for Minimax Fair Classification
S. Shekhar
Greg Fields
Mohammad Ghavamzadeh
T. Javidi
FaML
40
37
0
01 Mar 2021
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
256
489
0
31 Dec 2020
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