Regularizing towards Causal Invariance: Linear Models with Proxies

Regularizing towards Causal Invariance: Linear Models with Proxies

3 March 2021

Papers citing "Regularizing towards Causal Invariance: Linear Models with Proxies"

19 / 19 papers shown

Title
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Tianyi Zhou Qinghua Lu Shanshan Ye Jing Jiang OODD 168 1 0 02 May 2025
Revisiting Spurious Correlation in Domain Generalization Bin Qin Jiangmeng Li Yi Li Xuesong Wu Yupeng Wang Wenwen Qiang Jianwen Cao CML 42 1 0 17 Jun 2024
Proxy Methods for Domain Adaptation Katherine Tsai Stephen R. Pfohl Olawale Salaudeen Nicole Chiou Matt J. Kusner Alexander DÁmour Oluwasanmi Koyejo Arthur Gretton OOD 29 2 0 12 Mar 2024
Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 32 13 0 22 Sep 2023
Causal Information Splitting: Engineering Proxy Features for Robustness to Distribution Shifts Bijan Mazaheri Atalanti Mastakouri Dominik Janzing Mila Hardt OOD 33 3 0 10 May 2023
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 36 3 0 21 Nov 2022
Nonlinear Causal Discovery via Kernel Anchor Regression Wenqi Shi Wenkai Xu CML BDL 11 0 0 30 Oct 2022
Learning from a Biased Sample Roshni Sahoo Lihua Lei Stefan Wager 19 17 0 05 Sep 2022
Image-based Treatment Effect Heterogeneity Connor Jerzak Fredrik D. Johansson Adel Daoud 26 20 0 13 Jun 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets Nikolaj Thams Michael Oberst David Sontag OOD 38 10 0 31 May 2022
An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation Ziquan Liu Yi Tian Xu Yuanhong Xu Qi Qian Hao Li Rong Jin Xiangyang Ji Antoni B. Chan OOD 45 14 0 25 May 2022
Causal Domain Adaptation with Copula Entropy based Conditional Independence Test Jian Ma TTA OOD CML 10 0 0 27 Feb 2022
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation Yue He Zimu Wang Peng Cui Hao Zou Yafeng Zhang Qiang Cui Yong-jia Jiang OOD CML OODD 22 54 0 08 Feb 2022
Beyond Discriminant Patterns: On the Robustness of Decision Rule Ensembles Xin Du S. Ramamoorthy W. Duivesteijn Jin Tian Mykola Pechenizkiy 17 3 0 21 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 49 515 0 31 Aug 2021
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 19 13 0 01 Jun 2021
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 196 125 0 04 Jan 2021
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 215 901 0 02 Mar 2020
A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms Adarsh Subbaswamy Bryant Chen S. Saria OOD 11 18 0 27 May 2019