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Causal Context Connects Counterfactual Fairness to Robust Prediction and
  Group Fairness

Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness

Neural Information Processing Systems (NeurIPS), 2023
30 October 2023
Jacy Reese Anthis
Victor Veitch
ArXiv (abs)PDFHTML

Papers citing "Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness"

10 / 10 papers shown
Title
Training Feature Attribution for Vision Models
Training Feature Attribution for Vision Models
Aziz Bacha
Thomas George
TDIFAtt
260
1
0
10 Oct 2025
Fairness for the People, by the People: Minority Collective Action
Fairness for the People, by the People: Minority Collective Action
Omri Ben-Dov
Samira Samadi
Amartya Sanyal
Alexandru Ţifrea
88
1
0
21 Aug 2025
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated TextConference on Fairness, Accountability and Transparency (FAccT), 2025
Arturs Kanepajs
Aditi Basu
Sankalpa Ghose
Constance Li
Akshat Mehta
Ronak Mehta
Samuel David Tucker-Davis
Eric Zhou
Bob Fischer
Jacy Reese Anthis
ELMALM
369
6
0
03 Mar 2025
Learning Counterfactual Outcomes Under Rank Preservation
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu
Haoxuan Li
Chunyuan Zheng
Yan Zeng
Jiawei Chen
Yang Liu
Ruocheng Guo
Jianchao Tan
249
1
0
10 Feb 2025
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
Adam Wang
Son Nguyen
A. Montillo
FedML
208
2
0
31 Dec 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive TasksInternational Conference on Learning Representations (ICLR), 2024
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaMLOODCML
580
5
0
05 Oct 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Counterfactual Fairness by Combining Factual and Counterfactual PredictionsNeural Information Processing Systems (NeurIPS), 2024
Zeyu Zhou
Tianci Liu
Ruqi Bai
Jing Gao
Murat Kocaoglu
David I. Inouye
265
7
0
03 Sep 2024
Mind the Graph When Balancing Data for Fairness or Robustness
Mind the Graph When Balancing Data for Fairness or Robustness
Jessica Schrouff
Alexis Bellot
Amal Rannen-Triki
Alan Malek
Isabela Albuquerque
Arthur Gretton
Alexander DÁmour
Silvia Chiappa
OODCML
233
5
0
25 Jun 2024
The Impossibility of Fair LLMs
The Impossibility of Fair LLMs
Jacy Reese Anthis
Kristian Lum
Michael Ekstrand
Avi Feller
Alexander D’Amour
FaML
370
24
0
28 May 2024
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
Kristian Lum
Jacy Reese Anthis
Chirag Nagpal
Alex DÁmour
Alexander D’Amour
395
28
0
20 Feb 2024
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