Minimax Pareto Fairness: A Multi Objective Perspective

3 November 2020

Papers citing "Minimax Pareto Fairness: A Multi Objective Perspective"

50 / 121 papers shown

Title
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 36 21 0 02 Feb 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian D. Ziebart FaML 17 0 0 31 Jan 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 19 9 0 27 Jan 2023
Robustness Disparities in Face Detection Samuel Dooley George Z. Wei Tom Goldstein John P. Dickerson CVBM 38 8 0 29 Nov 2022
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey Otávio Parraga Martin D. Móre C. M. Oliveira Nathan Gavenski L. S. Kupssinskü Adilson Medronha L. V. Moura Gabriel S. Simões Rodrigo C. Barros 45 11 0 10 Nov 2022
Fairness-aware Regression Robust to Adversarial Attacks Yulu Jin Lifeng Lai FaML OOD 29 4 0 04 Nov 2022
Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition Samuel Dooley R. Sukthanker John P. Dickerson Colin White Frank Hutter Micah Goldblum CVBM 24 21 0 18 Oct 2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent Ruqi Zhang Qiang Liu Xin T. Tong BDL DRL 19 11 0 12 Oct 2022
MEDFAIR: Benchmarking Fairness for Medical Imaging Yongshuo Zong Yongxin Yang Timothy M. Hospedales OOD 81 59 0 04 Oct 2022
Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu Hung-Ting Su Shang-Tse Chen Winston H. Hsu AAML 27 1 0 22 Sep 2022
FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering R. Fajri A. Saxena Yulong Pei Mykola Pechenizkiy FaML 42 2 0 21 Sep 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 24 18 0 16 Sep 2022
Generalization In Multi-Objective Machine Learning Peter Súkeník Christoph H. Lampert AI4CE 34 5 0 29 Aug 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 33 17 0 22 Aug 2022
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples Sara Romiti C. Inskip V. Sharmanska Novi Quadrianto 22 2 0 03 Aug 2022
Towards Fairness-Aware Multi-Objective Optimization Guo-Ding Yu Lianbo Ma W. Du WenLi Du Yaochu Jin FaML 30 7 0 22 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 33 162 0 14 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale A. Veldanda Ivan Brugere Jiahao Chen Sanghamitra Dutta Alan Mishler S. Garg 33 7 0 29 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 57 0 15 Jun 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness M. Molina P. Loiseau 34 8 0 12 Jun 2022
Distributive Justice as the Foundational Premise of Fair ML: Unification, Extension, and Interpretation of Group Fairness Metrics Joachim Baumann Corinna Hertweck M. Loi Christoph Heitz 30 10 0 06 Jun 2022
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 43 16 0 06 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
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 30 13 0 31 May 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
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 78 0 06 May 2022
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance Jiannan Xiang Huayang Li Defu Lian Guoping Huang Taro Watanabe Lemao Liu 42 0 0 29 Mar 2022
Improving the Fairness of Chest X-ray Classifiers Haoran Zhang Natalie Dullerud Karsten Roth Lauren Oakden-Rayner Stephen R. Pfohl Marzyeh Ghassemi 23 65 0 23 Mar 2022
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 24 14 0 18 Mar 2022
Evaluating Proposed Fairness Models for Face Recognition Algorithms John J. Howard Eli J. Laird Yevgeniy B. Sirotin Rebecca E. Rubin Jerry L. Tipton A. Vemury CVBM 19 22 0 09 Mar 2022
Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers Dominik Zietlow Michael Lohaus Guha Balakrishnan Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Chris Russell FaML 17 71 0 09 Mar 2022
Net benefit, calibration, threshold selection, and training objectives for algorithmic fairness in healthcare Stephen R. Pfohl Yizhe Xu Agata Foryciarz Nikolaos Ignatiadis Julian Z. Genkins N. Shah 25 29 0 03 Feb 2022
An Algorithmic Framework for Bias Bounties Ira Globus-Harris Michael Kearns Aaron Roth FedML 102 24 0 25 Jan 2022
Are Commercial Face Detection Models as Biased as Academic Models? Samuel Dooley George Z. Wei Tom Goldstein John P. Dickerson CVBM 43 4 0 25 Jan 2022
Differentially Private SGDA for Minimax Problems Zhenhuan Yang Shu Hu Yunwen Lei Kush R. Varshney Siwei Lyu Yiming Ying 36 19 0 22 Jan 2022
Minimax Demographic Group Fairness in Federated Learning Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 16 43 0 20 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees N. Sohoni Maziar Sanjabi Nicolas Ballas Aditya Grover Shaoliang Nie Hamed Firooz Christopher Ré OOD 20 24 0 31 Dec 2021
Distributionally Robust Group Backwards Compatibility Martín Bertrán Natalia Martínez Alexander X. Oesterling Guillermo Sapiro FedML OOD 30 1 0 20 Dec 2021
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 36 19 0 26 Nov 2021
Scalable Unidirectional Pareto Optimality for Multi-Task Learning with Constraints Soumyajit Gupta Gurpreet Singh Raghu Bollapragada Matthew Lease 30 4 0 28 Oct 2021
Comparing Human and Machine Bias in Face Recognition Samuel Dooley Ryan Downing George Z. Wei N. Shankar Bradon Thymes ... Olufemi Obiwumi Valeriia Cherepanova Micah Goldblum John P. Dickerson Tom Goldstein CVBM 115 12 0 15 Oct 2021
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu Tianyi Luo Yang Liu 150 40 0 12 Oct 2021
Federating for Learning Group Fair Models Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML FaML 31 17 0 05 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 241 0 01 Oct 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Boddeti 36 7 0 08 Sep 2021
Robustness Disparities in Commercial Face Detection Samuel Dooley Tom Goldstein John P. Dickerson CVBM 19 13 0 27 Aug 2021
A comparison of approaches to improve worst-case predictive model performance over patient subpopulations Stephen R. Pfohl Haoran Zhang Yizhe Xu Agata Foryciarz Marzyeh Ghassemi N. Shah OOD 29 22 0 27 Aug 2021
Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning Sen Cui Weishen Pan Jian Liang Changshui Zhang Fei Wang FedML 17 84 0 19 Aug 2021
The Sharpe predictor for fairness in machine learning Suyun Liu Luis Nunes Vicente 43 3 0 13 Aug 2021