Re-weighting Based Group Fairness Regularization via Classwise Robust
Optimization

Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization

1 March 2023

Papers citing "Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization"

17 / 17 papers shown

Title
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 58 0 0 08 Mar 2025
The Disparate Benefits of Deep Ensembles Kajetan Schweighofer Adrián Arnaiz-Rodríguez Sepp Hochreiter Nuria Oliver FedML 33 1 0 17 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
Fairness without Sensitive Attributes via Knowledge Sharing Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 47 2 0 27 Sep 2024
Addressing Polarization and Unfairness in Performative Prediction Kun Jin Tian Xie Yang Liu Xueru Zhang 54 2 0 24 Jun 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers Jinqiu Jin Haoxuan Li Fuli Feng 50 3 0 05 Jun 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 58 0 0 13 Mar 2024
Towards Fairness-Aware Adversarial Learning Yanghao Zhang Tianle Zhang Ronghui Mu Xiaowei Huang Wenjie Ruan 36 4 0 27 Feb 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 45 1 0 10 Nov 2023
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury Nicholas Monath Ahmad Beirami Rahul Kidambi Kumar Avinava Dubey Amr Ahmed Snigdha Chaturvedi 40 2 0 17 Oct 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 27 4 0 02 Aug 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 37 10 0 04 Jun 2023
Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values Adrián Arnaiz-Rodríguez Nuria Oliver FedML TDI 12 2 0 03 Mar 2023
Learning Fair Classifiers with Partially Annotated Group Labels Sangwon Jung Sanghyuk Chun Taesup Moon 68 46 0 29 Nov 2021
Distributionally Robust Multilingual Machine Translation Chunting Zhou Daniel Levy Xian Li Marjan Ghazvininejad Graham Neubig 83 24 0 09 Sep 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 910 0 02 Mar 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016