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The Risks of Invariant Risk Minimization

The Risks of Invariant Risk Minimization

12 October 2020
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
    OOD
ArXivPDFHTML

Papers citing "The Risks of Invariant Risk Minimization"

28 / 28 papers shown
Title
Unsupervised Invariant Risk Minimization
Unsupervised Invariant Risk Minimization
Yotam Norman
Ron Meir
OOD
76
0
0
18 May 2025
Partial Transportability for Domain Generalization
Partial Transportability for Domain Generalization
Kasra Jalaldoust
Alexis Bellot
Elias Bareinboim
OOD
124
5
0
30 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi Wang
Yuhang Zhou
Zhixiong Zhang
Qiguang Chen
Yongqiang Chen
James Cheng
OODD
143
1
0
18 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified
Achievable distributional robustness when the robust risk is only partially identified
Julia Kostin
Nicola Gnecco
Fanny Yang
124
3
0
04 Feb 2025
Compositional Risk Minimization
Compositional Risk Minimization
Divyat Mahajan
Mohammad Pezeshki
Ioannis Mitliagkas
Kartik Ahuja
Pascal Vincent
Pascal Vincent
81
5
0
08 Oct 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
98
2
0
03 Aug 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
127
0
0
01 Jul 2024
Fine-Grained Domain Generalization with Feature Structuralization
Fine-Grained Domain Generalization with Feature Structuralization
Wenlong Yu
Dongyue Chen
Qilong Wang
Qinghua Hu
81
0
0
13 Jun 2024
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
A. Banerjee
Qiaobo Li
Yingxue Zhou
122
0
0
11 Jun 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
154
5
0
05 Jun 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance Learning
Yihong Gu
Cong Fang
Peter Bühlmann
Jianqing Fan
OOD
CML
269
2
0
07 May 2024
Gradual Domain Adaptation: Theory and Algorithms
Gradual Domain Adaptation: Theory and Algorithms
Yifei He
Haoxiang Wang
Bo Li
Han Zhao
CLL
109
6
0
20 Oct 2023
An Online Learning Approach to Interpolation and Extrapolation in Domain
  Generalization
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization
Elan Rosenfeld
Pradeep Ravikumar
Andrej Risteski
98
36
0
25 Feb 2021
How Neural Networks Extrapolate: From Feedforward to Graph Neural
  Networks
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu
Mozhi Zhang
Jingling Li
S. Du
Ken-ichi Kawarabayashi
Stefanie Jegelka
MLT
109
312
0
24 Sep 2020
Risk Variance Penalization
Risk Variance Penalization
Chuanlong Xie
Haotian Ye
Fei Chen
Yue Liu
Rui Sun
Zhenguo Li
149
33
0
13 Jun 2020
Domain Generalization using Causal Matching
Domain Generalization using Causal Matching
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
89
336
0
12 Jun 2020
Enforcing Predictive Invariance across Structured Biomedical Domains
Enforcing Predictive Invariance across Structured Biomedical Domains
Wengong Jin
Regina Barzilay
Tommi Jaakkola
OOD
59
29
0
06 Jun 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Percy Liang
188
381
0
09 May 2020
Learning the Difference that Makes a Difference with
  Counterfactually-Augmented Data
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
91
569
0
26 Sep 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
91
1,838
0
06 May 2019
Support and Invertibility in Domain-Invariant Representations
Support and Invertibility in Domain-Invariant Representations
Fredrik D. Johansson
David Sontag
Rajesh Ranganath
63
162
0
08 Mar 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
113
1,715
0
13 Feb 2019
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
119
784
0
30 May 2018
Adversarially Robust Generalization Requires More Data
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
Aleksander Madry
OOD
AAML
137
790
0
30 Apr 2018
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
378
9,497
0
28 May 2015
Causal inference using invariant prediction: identification and
  confidence intervals
Causal inference using invariant prediction: identification and confidence intervals
J. Peters
Peter Buhlmann
N. Meinshausen
OOD
122
971
0
06 Jan 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Domain Generalization via Invariant Feature Representation
Domain Generalization via Invariant Feature Representation
Krikamol Muandet
David Balduzzi
Bernhard Schölkopf
OOD
137
1,180
0
10 Jan 2013
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