Does Invariant Risk Minimization Capture Invariance?

4 January 2021

Papers citing "Does Invariant Risk Minimization Capture Invariance?"

49 / 99 papers shown

Title
Learning Invariant Representations under General Interventions on the Response Kang Du Yu Xiang OOD 22 8 0 22 Aug 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization Bin Deng K. Jia OOD 7 1 0 16 Aug 2022
The Causal Structure of Domain Invariant Supervised Representation Learning Zihao W. Wang Victor Veitch CML OOD 6 3 0 15 Aug 2022
Diversity Boosted Learning for Domain Generalization with Large Number of Domains Xinlin Leng Xiaoying Tang Yatao Bian AI4CE OOD 17 0 0 28 Jul 2022
Repeated Environment Inference for Invariant Learning Aayush Mishra Anqi Liu BDL OOD 14 0 0 26 Jul 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen Kaiwen Zhou Yatao Bian Binghui Xie Bing Wu ... Kaili Ma Han Yang P. Zhao Bo Han James Cheng OOD OODD 11 33 0 15 Jun 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 29 21 0 10 Jun 2022
Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis Ronan Perry Julius von Kügelgen Bernhard Schölkopf 30 48 0 04 Jun 2022
PAC Generalization via Invariant Representations Advait Parulekar Karthikeyan Shanmugam Sanjay Shakkottai 24 3 0 30 May 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization Dongsung Huh A. Baidya OOD 14 8 0 29 May 2022
Invariance Learning based on Label Hierarchy S. Toyota Kenji Fukumizu OOD 17 1 0 29 Mar 2022
Rich Feature Construction for the Optimization-Generalization Dilemma Jianyu Zhang David Lopez-Paz Léon Bottou 19 36 0 24 Mar 2022
Out-of-distribution Generalization with Causal Invariant Transformations Ruoyu Wang Mingyang Yi Zhitang Chen Shengyu Zhu OOD OODD 19 56 0 22 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution Ananya Kumar Aditi Raghunathan Robbie Jones Tengyu Ma Percy Liang OODD 39 640 0 21 Feb 2022
Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 18 78 0 14 Feb 2022
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift Alekh Agarwal Tong Zhang OOD 6 28 0 11 Feb 2022
Correcting Confounding via Random Selection of Background Variables You-Lin Chen Lenon Minorics Dominik Janzing CML 16 4 0 04 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery Haoxiang Wang Haozhe Si Bo-wen Li Han Zhao OOD 51 32 0 30 Jan 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 91 222 0 30 Jan 2022
Conditional entropy minimization principle for learning domain invariant representation features Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 22 7 0 25 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 29 38 0 19 Jan 2022
Balancing Fairness and Robustness via Partial Invariance Moulik Choraria Ibtihal Ferwana Ankur Mani L. Varshney OOD 20 1 0 17 Dec 2021
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 23 112 0 27 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 37 81 0 20 Nov 2021
Optimization-based Causal Estimation from Heterogenous Environments Mingzhang Yin Yixin Wang David M. Blei OOD 82 17 0 24 Sep 2021
Task Guided Compositional Representation Learning for ZDA Shuang Liu Mete Ozay OOD 20 0 0 13 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization Alexandre Ramé Corentin Dancette Matthieu Cord OOD 33 204 0 07 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 29 513 0 31 Aug 2021
Secure Domain Adaptation with Multiple Sources Serban Stan Mohammad Rostami 25 13 0 23 Jun 2021
Near-Optimal Linear Regression under Distribution Shift Qi Lei Wei Hu Jason D. Lee OOD 11 40 0 23 Jun 2021
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge Abhin Shah Karthikeyan Shanmugam Kartik Ahuja CML 29 12 0 22 Jun 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 23 32 0 18 Jun 2021
On Invariance Penalties for Risk Minimization Kia Khezeli Arno Blaas Frank Soboczenski N. Chia John Kalantari 14 16 0 17 Jun 2021
Contextualizing Meta-Learning via Learning to Decompose Han-Jia Ye Da-Wei Zhou Lanqing Hong Zhenguo Li Xiu-Shen Wei De-Chuan Zhan 13 6 0 15 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 13 248 0 11 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 16 105 0 11 Jun 2021
Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye Chuanlong Xie Tianle Cai Ruichen Li Zhenguo Li Liwei Wang OODD OOD 50 104 0 08 Jun 2021
A call for better unit testing for invariant risk minimisation Chunyang Xiao Pranava Madhyastha 8 1 0 06 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 18 95 0 05 Jun 2021
On the benefits of representation regularization in invariance based domain generalization Changjian Shui Boyu Wang Christian Gagné OOD 4 25 0 30 May 2021
Meta-Learned Invariant Risk Minimization Jun-Hyun Bae Inchul Choi Minho Lee OOD 29 10 0 24 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings Haoran Zhang Natalie Dullerud Laleh Seyyed-Kalantari Q. Morris Shalmali Joshi Marzyeh Ghassemi OOD AI4CE 10 59 0 20 Mar 2021
Regularizing towards Causal Invariance: Linear Models with Proxies Michael Oberst Nikolaj Thams J. Peters David Sontag OOD 17 23 0 03 Mar 2021
Nonlinear Invariant Risk Minimization: A Causal Approach Chaochao Lu Yuhuai Wu Jośe Miguel Hernández-Lobato Bernhard Schölkopf CML OOD 27 50 0 24 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 43 129 0 23 Feb 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 11 151 0 20 Feb 2021
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 6 371 0 14 Oct 2020
When is invariance useful in an Out-of-Distribution Generalization problem ? Masanori Koyama Shoichiro Yamaguchi OOD 26 65 0 04 Aug 2020
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020