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Multi-Output Distributional Fairness via Post-Processing

31 August 2024

Tianbao Yang

Papers citing "Multi-Output Distributional Fairness via Post-Processing"

50 / 53 papers shown

Title
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Qi Qi Quanqi Hu Qihang Lin Tianbao Yang 265 3 0 09 Jun 2024
f-FERM: A Scalable Framework for Robust Fair Empirical Risk MinimizationInternational Conference on Learning Representations (ICLR), 2023 Sina Baharlouei Shivam Patel Meisam Razaviyayn 347 4 0 06 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing EverythingInternational Conference on Machine Learning (ICML), 2023 Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 316 13 0 05 Dec 2023
Towards Practical Non-Adversarial Distribution MatchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Ziyu Gong Ben Usman Han Zhao David I. Inouye OOD 170 2 0 30 Oct 2023
Bipartite Ranking Fairness through a Model Agnostic Ordering AdjustmentIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Sen Cui Weishen Pan Changshui Zhang Fei Wang 105 13 0 27 Jul 2023
Fairness in Multi-Task Learning via Wasserstein Barycenters Franccois Hu Philipp Ratz Arthur Charpentier 264 10 0 16 Jun 2023
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervisionThe Web Conference (WWW), 2023 Sungwon Han Seungeon Lee Fangzhao Wu Sundong Kim Chuhan Wu Xiting Wang Xing Xie M. Cha FaML 102 10 0 15 Mar 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2023 Tianci Liu Haoyu Wang Yaqing Wang Xiaoqian Wang Lu Su Jing Gao 421 8 0 19 Feb 2023
Stochastic Methods for AUC Optimization subject to AUC-based Fairness ConstraintsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Yao Yao Qihang Lin Tianbao Yang FaML 280 13 0 23 Dec 2022
Fair and Optimal Classification via Post-ProcessingInternational Conference on Machine Learning (ICML), 2022 Ruicheng Xian Lang Yin Han Zhao FaML 361 43 0 03 Nov 2022
Fair learning with Wasserstein barycenters for non-decomposable performance measuresInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Solenne Gaucher Nicolas Schreuder Evgenii Chzhen 259 18 0 01 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable ConvergenceAAAI Conference on Artificial Intelligence (AAAI), 2022 Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 373 21 0 22 Aug 2022
Fair Contrastive Learning for Facial Attribute ClassificationComputer Vision and Pattern Recognition (CVPR), 2022 Sungho Park Jewook Lee Pilhyeon Lee Sunhee Hwang D. Kim H. Byun FaML 105 106 0 30 Mar 2022
Repairing Regressors for Fair Binary Classification at Any Decision Threshold Kweku Kwegyir-Aggrey A. Feder Cooper Jessica Dai John P Dickerson Keegan E. Hines Suresh Venkatasubramanian FaML 221 8 0 14 Mar 2022
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm PerformanceInternational Conference on Machine Learning (ICML), 2022 Zhuoning Yuan Yuexin Wu Zi-qi Qiu Xianzhi Du Lijun Zhang Denny Zhou Tianbao Yang 344 33 0 24 Feb 2022
Bayes-Optimal Classifiers under Group Fairness Xianli Zeng Guang Cheng Guang Cheng FaML 337 24 0 20 Feb 2022
Post-processing for Individual Fairness Felix Petersen Debarghya Mukherjee Yuekai Sun Mikhail Yurochkin FaML 156 95 0 26 Oct 2021
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 321 51 0 28 Sep 2021
Object-aware Contrastive Learning for Debiased Scene RepresentationNeural Information Processing Systems (NeurIPS), 2021 Sangwoo Mo H. Kang Kihyuk Sohn Chun-Liang Li Jinwoo Shin SSL OCL 262 54 0 30 Jul 2021
Fairness via Representation Neutralization Mengnan Du Subhabrata Mukherjee Guanchu Wang Ruixiang Tang Ahmed Hassan Awadallah Helen Zhou 215 85 0 23 Jun 2021
Fair Mixup: Fairness via InterpolationInternational Conference on Learning Representations (ICLR), 2021 Ching-Yao Chuang Youssef Mroueh 148 149 0 11 Mar 2021
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021 Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 1.9K 39,712 0 26 Feb 2021
Classification with abstention but without disparitiesConference on Uncertainty in Artificial Intelligence (UAI), 2021 Nicolas Schreuder Evgenii Chzhen FaML 176 27 0 24 Feb 2021
Wasserstein barycenters are NP-hard to computeSIAM Journal on Mathematics of Data Science (SIMODS), 2021 Jason M. Altschuler Enric Boix-Adserà OT 578 52 0 04 Jan 2021
Fair Attribute Classification through Latent Space De-biasingComputer Vision and Pattern Recognition (CVPR), 2020 V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 388 176 0 02 Dec 2020
A minimax framework for quantifying risk-fairness trade-off in regressionAnnals of Statistics (Ann. Stat.), 2020 Evgenii Chzhen Nicolas Schreuder FaML 321 39 0 28 Jul 2020
Fair Regression with Wasserstein BarycentersNeural Information Processing Systems (NeurIPS), 2020 Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 260 122 0 12 Jun 2020
Fairness by Learning Orthogonal Disentangled RepresentationsEuropean Conference on Computer Vision (ECCV), 2020 Mhd Hasan Sarhan Nassir Navab Abouzar Eslami Shadi Albarqouni FaML OOD CML 212 107 0 12 Mar 2020
Wasserstein Fair ClassificationConference on Uncertainty in Artificial Intelligence (UAI), 2019 Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 188 197 0 28 Jul 2019
Conscientious Classification: A Data Scientist's Guide to Discrimination-Aware ClassificationBig Data (BD), 2017 Brian dÁlessandro Cathy OÑeil T. LaGatta FaML 147 195 0 21 Jul 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary ClassificationNeural Information Processing Systems (NeurIPS), 2019 Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 354 96 0 12 Jun 2019
Equalized odds postprocessing under imperfect group informationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern 205 93 0 07 Jun 2019
Fair Regression: Quantitative Definitions and Reduction-based AlgorithmsInternational Conference on Machine Learning (ICML), 2019 Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 187 280 0 30 May 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 496 3,004 0 21 Jan 2019
Learning Not to Learn: Training Deep Neural Networks with Biased Data Byungju Kim Hyunwoo Kim Kyungsu Kim Sungjin Kim Junmo Kim OOD 219 442 0 26 Dec 2018
Bias Mitigation Post-processing for Individual and Group Fairness P. Lohia Karthikeyan N. Ramamurthy M. Bhide Diptikalyan Saha Kush R. Varshney Ruchir Puri FaML 127 179 0 14 Dec 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 190 132 0 15 Jun 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 571 1,189 0 06 Mar 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 854 2,380 0 01 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 782 727 0 17 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 369 1,523 0 22 Jan 2018
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations Alex Beutel Jilin Chen Zhe Zhao Ed H. Chi FaML 244 460 0 01 Jul 2017
Controllable Invariance through Adversarial Feature LearningNeural Information Processing Systems (NeurIPS), 2017 Qizhe Xie Zihang Dai Yulun Du Eduard H. Hovy Graham Neubig OOD 237 302 0 31 May 2017
Age Progression/Regression by Conditional Adversarial AutoencoderComputer Vision and Pattern Recognition (CVPR), 2017 Zhifei Zhang Yang Song Hairong Qi GAN CVBM 266 1,216 0 27 Feb 2017
Equality of Opportunity in Supervised LearningNeural Information Processing Systems (NeurIPS), 2016 Moritz Hardt Eric Price Nathan Srebro FaML 346 4,744 0 07 Oct 2016
Densely Connected Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2016 Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 1.7K 40,615 0 25 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 323 3,449 0 21 Jul 2016
Satisfying Real-world Goals with Dataset ConstraintsNeural Information Processing Systems (NeurIPS), 2016 Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 188 215 0 24 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.5K 214,123 0 10 Dec 2015
The Variational Fair Autoencoder Christos Louizos Kevin Swersky Yujia Li Max Welling R. Zemel DRL 756 657 0 03 Nov 2015