Fairness and robustness in anti-causal prediction

20 September 2022

Papers citing "Fairness and robustness in anti-causal prediction"

12 / 12 papers shown

Title
Rethinking Fair Representation Learning for Performance-Sensitive Tasks Charles Jones Fabio De Sousa Ribeiro Mélanie Roschewitz Daniel Coelho De Castro Ben Glocker FaML OOD CML 92 1 0 05 Oct 2024
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 13 3 0 21 Nov 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 13 12 0 30 Oct 2023
Machine Learning and Knowledge: Why Robustness Matters Jonathan Vandenburgh OOD 8 1 0 23 Oct 2023
Partial identification of kernel based two sample tests with mismeasured data Ron Nafshi Maggie Makar 16 0 0 07 Aug 2023
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations Qingyao Sun Kevin Murphy S. Ebrahimi Alexander DÁmour OOD VLM 16 9 0 28 Nov 2022
Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi Ruoyu Wang Jiacheng Sun Zhenguo Li Zhi-Ming Ma OODD 20 5 0 14 Jul 2022
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation Alexander Ke William Ellsworth Oishi Banerjee A. Ng Pranav Rajpurkar MedIm 63 101 0 18 Jan 2021
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 369 0 09 May 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 898 0 02 Mar 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 210 669 0 17 Feb 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016