What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers

30 October 2019

Papers citing "What is Fair? Exploring Pareto-Efficiency for Fairness Constrained Classifiers"

31 / 31 papers shown

Title
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 203 8 0 20 Feb 2024
On Learning Fairness and Accuracy on Multiple SubgroupsNeural Information Processing Systems (NeurIPS), 2022 Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 215 48 0 19 Oct 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive SurveyACM Journal on Responsible Computing (JRC), 2022 Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 285 232 0 14 Jul 2022
BARACK: Partially Supervised Group Robustness With Guarantees N. Sohoni Maziar Sanjabi Nicolas Ballas Aditya Grover Shaoliang Nie Hamed Firooz Christopher Ré OOD 246 28 0 31 Dec 2021
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints Soumyajit Gupta Gurpreet Singh Raghu Bollapragada Matthew Lease 137 7 0 28 Oct 2021
Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task LearningKnowledge Discovery and Data Mining (KDD), 2021 Yuyan Wang Xuezhi Wang Alex Beutel Flavien Prost Jilin Chen Ed H. Chi FaML 138 57 0 04 Jun 2021
Pareto Efficient Fairness in Supervised Learning: From Extraction to Tracing Mohammad Mahdi Kamani R. Forsati Chao Guo M. Mahdavi FaML 183 12 0 04 Apr 2021
A Hybrid 2-stage Neural Optimization for Pareto Front Extraction Gurpreet Singh Soumyajit Gupta Matthew Lease Clint Dawson 95 4 0 27 Jan 2021
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms Qing Ye Weijun Xie FaML 117 13 0 22 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification ProblemsNeural Information Processing Systems (NeurIPS), 2020 N. Sohoni Jared A. Dunnmon Geoffrey Angus Albert Gu Christopher Ré 270 277 0 25 Nov 2020
The Price of Fair PCA: One Extra Dimension Samira Samadi U. Tantipongpipat Jamie Morgenstern Mohit Singh Santosh Vempala FaML 284 168 0 31 Oct 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data David Madras Elliot Creager T. Pitassi R. Zemel FaML 189 140 0 07 Sep 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality IndicesKnowledge Discovery and Data Mining (KDD), 2018 Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 272 279 0 02 Jul 2018
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making Hoda Heidari Claudio Ferrari Krishna P. Gummadi Andreas Krause 395 141 0 13 Jun 2018
Blind Justice: Fairness with Encrypted Sensitive Attributes Niki Kilbertus Adria Gascon Matt J. Kusner Michael Veale Krishna P. Gummadi Adrian Weller 127 160 0 08 Jun 2018
The Externalities of Exploration and How Data Diversity Helps Exploitation Manish Raghavan Aleksandrs Slivkins Jennifer Wortman Vaughan Zhiwei Steven Wu 288 54 0 01 Jun 2018
Delayed Impact of Fair Machine LearningInternational Conference on Machine Learning (ICML), 2018 Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 314 500 0 12 Mar 2018
Probably Approximately Metric-Fair Learning G. Rothblum G. Yona FaML FedML 147 89 0 08 Mar 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 603 1,194 0 06 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk PredictionThe Web Conference (WWW), 2018 Nina Grgic-Hlaca Elissa M. Redmiles Krishna P. Gummadi Adrian Weller FaML 128 237 0 26 Feb 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 289 366 0 22 Feb 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 690 845 0 14 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 361 946 0 06 Sep 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang FaML 249 1,029 0 29 Jul 2017
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 268 461 0 01 Jul 2017
From Parity to Preference-based Notions of Fairness in Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Adrian Weller FaML 269 216 0 30 Jun 2017
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 474 1,083 0 18 Oct 2016
Equality of Opportunity in Supervised LearningNeural Information Processing Systems (NeurIPS), 2016 Moritz Hardt Eric Price Nathan Srebro FaML 358 4,758 0 07 Oct 2016
Scalable Learning of Non-Decomposable ObjectivesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2016 Elad Eban Mariano Schain Alan Mackey A. Gordon R. Rifkin G. Elidan 173 115 0 16 Aug 2016
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings Tolga Bolukbasi Kai-Wei Chang James Zou Venkatesh Saligrama Adam Kalai CVBM FaML 355 3,456 0 21 Jul 2016
Sparse group lasso and high dimensional multinomial classificationComputational Statistics & Data Analysis (CSDA), 2012 Martin Vincent N. Hansen 273 134 0 06 May 2012