Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions

29 January 2019

Papers citing "Repairing without Retraining: Avoiding Disparate Impact with Counterfactual Distributions"

24 / 24 papers shown

Title
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning Lefei Zhang Lijie Hu Di Wang LRM 97 0 0 17 Feb 2025
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakage Ying Song Balaji Palanisamy 80 0 0 28 Jan 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
Data Debugging is NP-hard for Classifiers Trained with SGD Zizheng Guo Pengyu Chen Yanzhang Fu Xuelong Li 28 0 0 02 Aug 2024
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences Dimitris Bertsimas V. Digalakis Yu Ma Phevos Paschalidis 35 0 0 28 Mar 2024
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 27 28 0 13 Dec 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 38 18 0 27 Sep 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination Aparajita Haldar Teddy Cunningham Hakan Ferhatosmanoglu FaML 40 3 0 30 Aug 2022
A Machine Learning Model for Predicting, Diagnosing, and Mitigating Health Disparities in Hospital Readmission Shaina Raza 24 14 0 13 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in Prediction Vinith Suriyakumar Marzyeh Ghassemi Berk Ustun 41 6 0 04 Jun 2022
Rethinking Influence Functions of Neural Networks in the Over-parameterized Regime Rui Zhang Shihua Zhang TDI 27 21 0 15 Dec 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 61 517 0 31 Aug 2021
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks Yushun Dong Ninghao Liu B. Jalaeian Jundong Li 31 118 0 11 Aug 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Xia Hu 25 78 0 23 Jun 2021
Influence Based Defense Against Data Poisoning Attacks in Online Learning Sanjay Seetharaman Shubham Malaviya KV Rosni Manish Shukla S. Lodha TDI AAML 39 9 0 24 Apr 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 40 12 0 06 Jan 2021
Augmented Fairness: An Interpretable Model Augmenting Decision-Makers' Fairness Tong Wang M. Saar-Tsechansky 31 11 0 17 Nov 2020
Same-Day Delivery with Fairness Xinwei Chen Tong Wang Barrett W. Thomas M. Ulmer 42 27 0 19 Jul 2020
Fair Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 21 101 0 12 Jun 2020
On Second-Order Group Influence Functions for Black-Box Predictions S. Basu Xuchen You S. Feizi TDI 20 68 0 01 Nov 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 17 82 0 01 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 720 0 12 May 2016