Empirical Risk Minimization under Fairness Constraints

23 February 2018

Papers citing "Empirical Risk Minimization under Fairness Constraints"

50 / 98 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 34 1 0 09 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 50 0 0 26 Apr 2025
Discrimination-free Insurance Pricing with Privatized Sensitive Attributes Tianhe Zhang Suhan Liu Peng Shi FaML 74 0 0 16 Apr 2025
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Hao Huang Yi Fang Mengyu Wang FedML 26 0 0 31 Dec 2024
Constructing Fair Latent Space for Intersection of Fairness and Explainability Hyungjun Joo Hyeonggeun Han Sehwan Kim Sangwoo Hong Jungwoo Lee 47 0 0 23 Dec 2024
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 143 4 0 13 Nov 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 51 2 0 03 Sep 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 52 1 0 09 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 56 1 0 01 Jun 2024
Towards Standardizing AI Bias Exploration Emmanouil Krasanakis Symeon Papadopoulos 40 3 0 29 May 2024
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 55 3 0 20 Oct 2023
FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling Yan Luo Muhammad Osama Khan Yu Tian Minfei Shi Zehao Dou T. Elze Yi Fang Mengyu Wang 17 7 0 03 Oct 2023
FFPDG: Fast, Fair and Private Data Generation Weijie Xu Jinjin Zhao Francis Iannacci Bo Wang 38 11 0 30 Jun 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 44 10 0 16 Jun 2023
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 31 10 0 12 Jun 2023
Resilient Constrained Learning Ignacio Hounie Alejandro Ribeiro Luiz F. O. Chamon 31 10 0 04 Jun 2023
Generalized Disparate Impact for Configurable Fairness Solutions in ML Luca Giuliani Eleonora Misino M. Lombardi 17 3 0 29 May 2023
On the relevance of APIs facing fairwashed audits Jade Garcia Bourrée Erwan Le Merrer Gilles Tredan Benoit Rottembourg MLAU 22 0 0 23 May 2023
Group conditional validity via multi-group learning Samuel Deng Navid Ardeshir Daniel J. Hsu 35 1 0 07 Mar 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 26 1 0 02 Feb 2023
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes Tennison Liu Alex J. Chan B. V. Breugel M. Schaar FaML 25 2 0 11 Nov 2022
Okapi: Generalising Better by Making Statistical Matches Match Myles Bartlett Sara Romiti V. Sharmanska Novi Quadrianto 47 3 0 07 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 48 37 0 19 Oct 2022
Equal Experience in Recommender Systems Jaewoong Cho Moonseok Choi Changho Suh FaML 23 1 0 12 Oct 2022
Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric Pengxin Zeng Yunfan Li Peng Hu Dezhong Peng Jiancheng Lv Xiaocui Peng 23 12 0 26 Sep 2022
Omnipredictors for Constrained Optimization Lunjia Hu Inbal Livni-Navon Omer Reingold Chutong Yang 25 14 0 15 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 35 17 0 22 Aug 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 24 31 0 26 Jun 2022
FairGrad: Fairness Aware Gradient Descent Gaurav Maheshwari Michaël Perrot FaML 44 11 0 22 Jun 2022
Group Meritocratic Fairness in Linear Contextual Bandits Riccardo Grazzi A. Akhavan Johannes Falk Leonardo Cella Massimiliano Pontil FaML 32 8 0 07 Jun 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 29 4 0 24 May 2022
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning Sikha Pentyala Nicola Neophytou A. Nascimento Martine De Cock G. Farnadi 44 17 0 23 May 2022
Perspectives on Incorporating Expert Feedback into Model Updates Valerie Chen Umang Bhatt Hoda Heidari Adrian Weller Ameet Talwalkar 40 11 0 13 May 2022
Optimising Equal Opportunity Fairness in Model Training Aili Shen Xudong Han Trevor Cohn Timothy Baldwin Lea Frermann FaML 32 28 0 05 May 2022
On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression Ekaterina Trimbach Edward Duc Hien Nguyen César A. Uribe 34 1 0 16 Apr 2022
Marrying Fairness and Explainability in Supervised Learning Przemyslaw A. Grabowicz Nicholas Perello Aarshee Mishra FaML 51 43 0 06 Apr 2022
Repairing Group-Level Errors for DNNs Using Weighted Regularization Ziyuan Zhong Yuchi Tian Conor J. Sweeney Vicente Ordonez Baishakhi Ray 24 0 0 24 Mar 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing Ilias Chalkidis Tommaso Pasini Shenmin Zhang Letizia Tomada Sebastian Felix Schwemer Anders Søgaard AILaw 40 54 0 14 Mar 2022
Exploring the Unfairness of DP-SGD Across Settings Frederik Noe R. Herskind Anders Søgaard 27 4 0 24 Feb 2022
A Fair Empirical Risk Minimization with Generalized Entropy Young-Hwan Jin Jio Gim Tae-Jin Lee Young-Joo Suh FaML 22 1 0 24 Feb 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 21 11 0 24 Feb 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 24 5 0 23 Feb 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 27 14 0 07 Feb 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 25 16 0 07 Feb 2022
Towards Group Robustness in the presence of Partial Group Labels Vishnu Suresh Lokhande Kihyuk Sohn Jinsung Yoon Madeleine Udell Chen-Yu Lee Tomas Pfister OOD 45 11 0 10 Jan 2022
AutoBalance: Optimized Loss Functions for Imbalanced Data Mingchen Li Xuechen Zhang Christos Thrampoulidis Jiasi Chen Samet Oymak 21 67 0 04 Jan 2022
Assessing Fairness in the Presence of Missing Data Yiliang Zhang Q. Long FaML 31 35 0 07 Dec 2021
CONFAIR: Configurable and Interpretable Algorithmic Fairness Ankit Kulshrestha Ilya Safro FaML 22 2 0 17 Nov 2021