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Equal Opportunity in Online Classification with Partial Feedback

Equal Opportunity in Online Classification with Partial Feedback

6 February 2019
Yahav Bechavod
Katrina Ligett
Aaron Roth
Bo Waggoner
Zhiwei Steven Wu
    FaML
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Papers citing "Equal Opportunity in Online Classification with Partial Feedback"

15 / 15 papers shown
Title
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
60
3
0
10 Jun 2024
Generalization Error Bounds for Learning under Censored Feedback
Generalization Error Bounds for Learning under Censored Feedback
Yifan Yang
Ali Payani
Parinaz Naghizadeh Ardabili
29
0
0
14 Apr 2024
Designing Long-term Group Fair Policies in Dynamical Systems
Designing Long-term Group Fair Policies in Dynamical Systems
Miriam Rateike
Isabel Valera
Patrick Forré
30
4
0
21 Nov 2023
A Classification of Feedback Loops and Their Relation to Biases in
  Automated Decision-Making Systems
A Classification of Feedback Loops and Their Relation to Biases in Automated Decision-Making Systems
Nicolò Pagan
Joachim Baumann
Ezzat Elokda
Giulia De Pasquale
S. Bolognani
Anikó Hannák
32
23
0
10 May 2023
Group Meritocratic Fairness in Linear Contextual Bandits
Group Meritocratic Fairness in Linear Contextual Bandits
Riccardo Grazzi
A. Akhavan
Johannes Falk
Leonardo Cella
Massimiliano Pontil
FaML
19
8
0
07 Jun 2022
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement
  Errors on Fairness Criteria
Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria
Yiqiao Liao
Parinaz Naghizadeh Ardabili
6
8
0
31 May 2022
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision
  Making
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making
Miriam Rateike
Ayan Majumdar
Olga Mineeva
Krishna P. Gummadi
Isabel Valera
OffRL
30
11
0
10 May 2022
Fairer LP-based Online Allocation via Analytic Center
Fairer LP-based Online Allocation via Analytic Center
Guanting Chen
Xiaocheng Li
Yinyu Ye
FaML
9
8
0
27 Oct 2021
Adaptive Data Debiasing through Bounded Exploration
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang
Yang Liu
Parinaz Naghizadeh
FaML
17
7
0
25 Oct 2021
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored
  Online Binary Classification
Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification
James A. Grant
David S. Leslie
34
3
0
29 Sep 2021
Fairness-Aware Online Meta-learning
Fairness-Aware Online Meta-learning
Chengli Zhao
Feng Chen
B. Thuraisingham
FaML
29
34
0
21 Aug 2021
Fairness of Exposure in Stochastic Bandits
Fairness of Exposure in Stochastic Bandits
Lequn Wang
Yiwei Bai
Wen Sun
Thorsten Joachims
FaML
11
48
0
03 Mar 2021
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Fairness in Learning-Based Sequential Decision Algorithms: A Survey
Xueru Zhang
M. Liu
FaML
35
51
0
14 Jan 2020
Learning Strategy-Aware Linear Classifiers
Learning Strategy-Aware Linear Classifiers
Yiling Chen
Yang Liu
Chara Podimata
8
9
0
10 Nov 2019
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
204
2,082
0
24 Oct 2016
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