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Fair Inference On Outcomes
29 May 2017
Razieh Nabi
I. Shpitser
FaML
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Papers citing
"Fair Inference On Outcomes"
50 / 124 papers shown
Title
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
Khadija Zanna
Akane Sano
24
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13 Jun 2025
Treatment Effect Estimation for Optimal Decision-Making
Dennis Frauen
Valentyn Melnychuk
Jonas Schweisthal
Mihaela van der Schaar
Stefan Feuerriegel
CML
63
0
0
19 May 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
Ruta Binkyte
Ivaxi Sheth
Zhijing Jin
Mohammad Havaei
Bernhard Schölkopf
Mario Fritz
558
1
0
28 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses
Sourbh Bhadane
Joris Mooij
Philip A. Boeken
O. Zoeter
155
0
0
17 Feb 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
217
0
0
10 Jan 2025
Time Can Invalidate Algorithmic Recourse
Giovanni De Toni
Stefano Teso
Bruno Lepri
Andrea Passerini
102
1
0
10 Oct 2024
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
124
4
0
10 Jun 2024
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms
Hilde Weerts
Aislinn Kelly-Lyth
Reuben Binns
Jeremias Adams-Prassl
64
2
0
22 Apr 2024
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations
Phanideep Gampa
Farnoosh Javadi
Belhassen Bayar
Ainur Yessenalina
98
0
0
25 Sep 2023
Causal Fairness for Outcome Control
Drago Plečko
Elias Bareinboim
51
7
0
08 Jun 2023
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning
K. Kim
J. Zubizarreta
89
7
0
06 Jun 2023
Unfair Utilities and First Steps Towards Improving Them
Frederik Hytting Jorgensen
S. Weichwald
J. Peters
FaML
109
0
0
01 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
CML
120
19
0
26 May 2023
Robust probabilistic inference via a constrained transport metric
Abhisek Chakraborty
A. Bhattacharya
D. Pati
86
3
0
17 Mar 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
Niloy Ganguly
Dren Fazlija
Maryam Badar
M. Fisichella
Sandipan Sikdar
...
Koustav Rudra
Manolis Koubarakis
Gourab K. Patro
W. Z. E. Amri
Wolfgang Nejdl
CML
95
26
0
14 Feb 2023
Biases in Scholarly Recommender Systems: Impact, Prevalence, and Mitigation
Michael Färber
Melissa Coutinho
Shuzhou Yuan
83
8
0
18 Jan 2023
Reasoning about Causality in Games
Lewis Hammond
James Fox
Tom Everitt
Ryan Carey
Alessandro Abate
Michael Wooldridge
LRM
AI4CE
77
16
0
05 Jan 2023
PreFair: Privately Generating Justifiably Fair Synthetic Data
David Pujol
Amir Gilad
Ashwin Machanavajjhala
79
7
0
20 Dec 2022
Certifying Fairness of Probabilistic Circuits
Nikil Selvam
Guy Van den Broeck
YooJung Choi
FaML
TPM
58
6
0
05 Dec 2022
RISE: Robust Individualized Decision Learning with Sensitive Variables
Xiaoqing Ellen Tan
Zhengling Qi
C. Seymour
Lu Tang
OffRL
65
8
0
12 Nov 2022
Equal Experience in Recommender Systems
Jaewoong Cho
Moonseok Choi
Changho Suh
FaML
47
1
0
12 Oct 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
Siqi Xu
Lin Liu
Zhong Liu
CML
MedIm
67
9
0
10 Oct 2022
Fairness and robustness in anti-causal prediction
Maggie Makar
Alexander DÁmour
OOD
102
12
0
20 Sep 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Ziqi Xu
Jixue Liu
Debo Cheng
Jiuyong Li
Lin Liu
Ke Wang
FaML
OOD
CML
155
7
0
19 Aug 2022
Imputation Strategies Under Clinical Presence: Impact on Algorithmic Fairness
Vincent Jeanselme
Maria De-Arteaga
Zhe Zhang
Jessica Barrett
Brian D. M. Tom
FaML
111
14
0
13 Aug 2022
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
Maria De-Arteaga
Stefan Feuerriegel
M. Saar-Tsechansky
FaML
126
45
0
22 Jul 2022
Learning Counterfactually Invariant Predictors
Francesco Quinzan
Cecilia Casolo
Krikamol Muandet
Yucen Luo
Niki Kilbertus
118
10
0
20 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
113
177
0
14 Jul 2022
Causal Conceptions of Fairness and their Consequences
H. Nilforoshan
Johann D. Gaebler
Ravi Shroff
Sharad Goel
FaML
199
46
0
12 Jul 2022
Quantifying Feature Contributions to Overall Disparity Using Information Theory
Sanghamitra Dutta
Praveen Venkatesh
P. Grover
FAtt
47
5
0
16 Jun 2022
Causal Discovery for Fairness
Ruta Binkyt.e-Sadauskien.e
K. Makhlouf
Carlos Pinzón
Sami Zhioua
C. Palamidessi
CML
78
18
0
14 Jun 2022
(Im)possibility of Collective Intelligence
Krikamol Muandet
261
6
0
05 Jun 2022
Counterfactual Fairness with Partially Known Causal Graph
Aoqi Zuo
Susan Wei
Tongliang Liu
Bo Han
Kun Zhang
Biwei Huang
OOD
FaML
65
19
0
27 May 2022
A Survey on Fairness for Machine Learning on Graphs
Charlotte Laclau
C. Largeron
Manvi Choudhary
FaML
80
24
0
11 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations
A. Ghosh
Matthew Jagielski
Chris L. Wilson
89
7
0
05 May 2022
Fair Algorithm Design: Fair and Efficacious Machine Scheduling
April Niu
Agnes Totschnig
A. Vetta
FaML
67
3
0
13 Apr 2022
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu
Lu Zhang
72
22
0
04 Apr 2022
Selection, Ignorability and Challenges With Causal Fairness
Jake Fawkes
R. Evans
Dino Sejdinovic
163
19
0
28 Feb 2022
On Learning and Testing of Counterfactual Fairness through Data Preprocessing
Haoyu Chen
Wenbin Lu
R. Song
Pulak Ghosh
FaML
69
6
0
25 Feb 2022
Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness
Carolyn Ashurst
Ryan Carey
Silvia Chiappa
Tom Everitt
FaML
98
15
0
22 Feb 2022
Causal Explanations and XAI
Sander Beckers
CML
XAI
81
36
0
31 Jan 2022
Promises and Challenges of Causality for Ethical Machine Learning
Aida Rahmattalabi
Alice Xiang
FaML
CML
162
8
0
26 Jan 2022
On the Adversarial Robustness of Causal Algorithmic Recourse
Ricardo Dominguez-Olmedo
Amir-Hossein Karimi
Bernhard Schölkopf
103
64
0
21 Dec 2021
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan
Jiongli Zhu
Boris Glavic
Babak Salimi
93
57
0
17 Dec 2021
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
Steven Euijong Whang
Yuji Roh
Hwanjun Song
Jae-Gil Lee
83
351
0
13 Dec 2021
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDa
FaML
79
36
0
04 Nov 2021
Sample Selection for Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
77
65
0
27 Oct 2021
DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
A. Saha
Trent Kyono
J. Linmans
M. Schaar
CML
92
111
0
25 Oct 2021
Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making
Jianlong Zhou
Sunny Verma
Mudit Mittal
Fang Chen
FaML
53
10
0
29 Sep 2021
Algorithmic Fairness Verification with Graphical Models
Bishwamittra Ghosh
D. Basu
Kuldeep S. Meel
FaML
65
21
0
20 Sep 2021
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