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Counterfactual Fairness with Partially Known Causal Graph

Counterfactual Fairness with Partially Known Causal Graph

27 May 2022
Aoqi Zuo
Susan Wei
Tongliang Liu
Bo Han
Kun Zhang
Mingming Gong
    OOD
    FaML
ArXivPDFHTML

Papers citing "Counterfactual Fairness with Partially Known Causal Graph"

16 / 16 papers shown
Title
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
Khadija Zanna
Akane Sano
43
0
0
21 Mar 2025
Testing for Causal Fairness
Testing for Causal Fairness
Jiarun Fu
LiZhong Ding
Pengqi Li
Qiuning Wei
Yurong Cheng
Xu Chen
39
0
0
18 Feb 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
56
0
0
10 Jan 2025
Lookahead Counterfactual Fairness
Lookahead Counterfactual Fairness
Zhiqun Zuo
Tian Xie
Xuwei Tan
Xueru Zhang
Mohammad Mahdi Khalili
FaML
70
0
0
02 Dec 2024
A Note on Bias to Complete
A Note on Bias to Complete
Jia Xu
Mona Diab
39
2
0
18 Feb 2024
Causal Feature Selection for Responsible Machine Learning
Causal Feature Selection for Responsible Machine Learning
Raha Moraffah
Paras Sheth
Saketh Vishnubhatla
Huan Liu
CML
19
2
0
05 Feb 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained
  Optimization Approach
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo
Yiqing Li
Susan Wei
Mingming Gong
FaML
20
5
0
19 Jan 2024
Causal Context Connects Counterfactual Fairness to Robust Prediction and
  Group Fairness
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness
Jacy Reese Anthis
Victor Veitch
20
12
0
30 Oct 2023
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off
  Pareto Frontier
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier
Hua Tang
Lu Cheng
Ninghao Liu
Mengnan Du
FaML
21
1
0
19 Oct 2023
Learning for Counterfactual Fairness from Observational Data
Learning for Counterfactual Fairness from Observational Data
Jing Ma
Ruocheng Guo
Aidong Zhang
Jundong Li
FaML
14
11
0
17 Jul 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation
  Approach
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
Zhimeng Jiang
Xiaotian Han
Hongye Jin
Guanchu Wang
Rui Chen
Na Zou
Xia Hu
8
13
0
06 Mar 2023
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic
  Parity
Retiring ΔΔΔDP: New Distribution-Level Metrics for Demographic Parity
Xiaotian Han
Zhimeng Jiang
Hongye Jin
Zirui Liu
Na Zou
Qifan Wang
Xia Hu
27
3
0
31 Jan 2023
Selection, Ignorability and Challenges With Causal Fairness
Selection, Ignorability and Challenges With Causal Fairness
Jake Fawkes
R. Evans
Dino Sejdinovic
78
19
0
28 Feb 2022
The Fairness-Accuracy Pareto Front
The Fairness-Accuracy Pareto Front
Susan Wei
Marc Niethammer
FaML
34
33
0
25 Aug 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
185
2,082
0
24 Oct 2016
Causal Inference and Causal Explanation with Background Knowledge
Causal Inference and Causal Explanation with Background Knowledge
Christopher Meek
CML
216
626
0
20 Feb 2013
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