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Learning Optimal Fair Policies

Learning Optimal Fair Policies

6 September 2018
Razieh Nabi
Daniel Malinsky
I. Shpitser
    FaML
ArXivPDFHTML

Papers citing "Learning Optimal Fair Policies"

16 / 16 papers shown
Title
Fairness in Reinforcement Learning with Bisimulation Metrics
Fairness in Reinforcement Learning with Bisimulation Metrics
S. Rezaei-Shoshtari
Hanna Yurchyk
Scott Fujimoto
Doina Precup
David Meger
90
0
0
03 Jan 2025
Fairness in Reinforcement Learning: A Survey
Fairness in Reinforcement Learning: A Survey
Anka Reuel
Devin Ma
OffRL
FaML
45
4
0
11 May 2024
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy
  Learning
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
K. Kim
J. Zubizarreta
41
7
0
06 Jun 2023
Fair Off-Policy Learning from Observational Data
Fair Off-Policy Learning from Observational Data
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaML
OffRL
30
6
0
15 Mar 2023
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Pragmatic Fairness: Developing Policies with Outcome Disparity Control
Limor Gultchin
Siyuan Guo
Alan Malek
Silvia Chiappa
R. Silva
28
1
0
28 Jan 2023
Counterfactuals for the Future
Counterfactuals for the Future
Lucius E.J. Bynum
Joshua R. Loftus
Julia Stoyanovich
33
10
0
07 Dec 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Ellen Tan
Zhengling Qi
C. Seymour
Lu Tang
OffRL
26
8
0
12 Nov 2022
SCALES: From Fairness Principles to Constrained Decision-Making
SCALES: From Fairness Principles to Constrained Decision-Making
Sreejith Balakrishnan
Jianxin Bi
Harold Soh
FaML
25
2
0
22 Sep 2022
Omnipredictors for Constrained Optimization
Omnipredictors for Constrained Optimization
Lunjia Hu
Inbal Livni-Navon
Omer Reingold
Chutong Yang
28
14
0
15 Sep 2022
Survey on Fair Reinforcement Learning: Theory and Practice
Survey on Fair Reinforcement Learning: Theory and Practice
Pratik Gajane
A. Saxena
M. Tavakol
George Fletcher
Mykola Pechenizkiy
FaML
OffRL
40
13
0
20 May 2022
Marrying Fairness and Explainability in Supervised Learning
Marrying Fairness and Explainability in Supervised Learning
Przemyslaw A. Grabowicz
Nicholas Perello
Aarshee Mishra
FaML
51
43
0
06 Apr 2022
Disaggregated Interventions to Reduce Inequality
Disaggregated Interventions to Reduce Inequality
Lucius E.J. Bynum
Joshua R. Loftus
Julia Stoyanovich
42
13
0
01 Jul 2021
Causal intersectionality for fair ranking
Causal intersectionality for fair ranking
Ke Yang
Joshua R. Loftus
Julia Stoyanovich
35
40
0
15 Jun 2020
Optimal Training of Fair Predictive Models
Optimal Training of Fair Predictive Models
Razieh Nabi
Daniel Malinsky
I. Shpitser
26
13
0
09 Oct 2019
Causal Modeling for Fairness in Dynamical Systems
Causal Modeling for Fairness in Dynamical Systems
Elliot Creager
David Madras
T. Pitassi
R. Zemel
29
67
0
18 Sep 2019
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
352
4,237
0
23 Aug 2019
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