Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach

6 March 2023

Papers citing "Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach"

21 / 21 papers shown

Title
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization Youngjun Song Youngsik Hwang Jonghun Lee Heechang Lee Dong-Young Lim AAML 98 0 0 30 Mar 2025
SparseDM: Toward Sparse Efficient Diffusion Models Kafeng Wang Jianfei Chen He Li Zhenpeng Mi Jun-Jie Zhu DiffM 115 10 0 16 Apr 2024
Predicting Out-of-Distribution Error with Confidence Optimal Transport Yuzhe Lu Zhenlin Wang Runtian Zhai Soheil Kolouri Joseph Campbell Katia Sycara OODD 27 11 0 10 Feb 2023
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 71 31 0 26 Jun 2022
Towards Understanding Sharpness-Aware Minimization Maksym Andriushchenko Nicolas Flammarion AAML 87 141 0 13 Jun 2022
Efficient Resource Allocation with Fairness Constraints in Restless Multi-Armed Bandits Dexun Li Pradeep Varakantham 36 9 0 08 Jun 2022
Predicting Out-of-Distribution Error with the Projection Norm Yaodong Yu Zitong Yang Alexander Wei Yi-An Ma Jacob Steinhardt OODD 40 44 0 11 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 53 48 0 08 Feb 2022
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support Michael A. Madaio Lisa Egede Hariharan Subramonyam Jennifer Wortman Vaughan Hanna M. Wallach 56 147 0 10 Dec 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 166 160 0 25 Feb 2021
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 49 5 0 03 Nov 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 184 1,349 0 03 Oct 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 58 123 0 10 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 108 546 0 01 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 92 480 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 328 1,734 0 29 Jun 2020
SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness Mikhail Yurochkin Yuekai Sun FaML 61 50 0 25 Jun 2020
Two Simple Ways to Learn Individual Fairness Metrics from Data Debarghya Mukherjee Mikhail Yurochkin Moulinath Banerjee Yuekai Sun FaML 47 96 0 19 Jun 2020
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 57 120 0 28 Jun 2019
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 63 227 0 03 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 222 4,307 0 07 Oct 2016