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Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Neural Information Processing Systems (NeurIPS), 2021
18 June 2021
Yining Chen
Elan Rosenfeld
Mark Sellke
Tengyu Ma
Andrej Risteski
OOD
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Papers citing
"Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments"
26 / 26 papers shown
Causality-Inspired Robustness for Nonlinear Models via Representation Learning
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Peter Bühlmann
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425
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Enhancing Fairness through Reweighting: A Path to Attain the Sufficiency Rule
European Conference on Artificial Intelligence (ECAI), 2024
Xuan Zhao
Klaus Broelemann
Salvatore Ruggieri
Gjergji Kasneci
311
1
0
26 Aug 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
416
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01 Jul 2024
Feature contamination: Neural networks learn uncorrelated features and fail to generalize
Tianren Zhang
Chujie Zhao
Guanyu Chen
Yizhou Jiang
Feng Chen
OOD
MLT
OODD
547
11
0
05 Jun 2024
Beyond Discrepancy: A Closer Look at the Theory of Distribution Shift
Robi Bhattacharjee
Nick Rittler
Kamalika Chaudhuri
258
1
0
29 May 2024
Bridging Domains with Approximately Shared Features
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ziliang Samuel Zhong
Xiang Pan
Qi Lei
OOD
338
2
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11 Mar 2024
Controllable Prompt Tuning For Balancing Group Distributional Robustness
Hoang Phan
Andrew Gordon Wilson
Qi Lei
453
12
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05 Mar 2024
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
298
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06 Jan 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao
Siyuan Bian
Yaoyun Zhang
Yuliang Zhang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
323
2
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18 Dec 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
Haoxiang Wang
Gargi Balasubramaniam
Haozhe Si
Bo Li
Han Zhao
OOD
284
2
0
02 Nov 2023
Context is Environment
International Conference on Learning Representations (ICLR), 2023
Sharut Gupta
Stefanie Jegelka
David Lopez-Paz
Kartik Ahuja
294
0
0
18 Sep 2023
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Neural Information Processing Systems (NeurIPS), 2023
Simon Buchholz
Goutham Rajendran
Elan Rosenfeld
Bryon Aragam
Bernhard Schölkopf
Pradeep Ravikumar
CML
447
90
0
04 Jun 2023
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
Neural Information Processing Systems (NeurIPS), 2023
Elan Rosenfeld
Saurabh Garg
UQCV
246
12
0
01 Jun 2023
Out-of-Domain Robustness via Targeted Augmentations
International Conference on Machine Learning (ICML), 2023
Irena Gao
Shiori Sagawa
Pang Wei Koh
Tatsunori Hashimoto
Abigail Z. Jacobs
OODD
OOD
301
33
0
23 Feb 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning
International Conference on Machine Learning (ICML), 2023
Xiao Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
OODD
240
73
0
24 Jan 2023
Domain Generalization with Correlated Style Uncertainty
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Zheyu Zhang
Sijin Yu
Debesh Jha
Ugur Demir
Ulas Bagci
OOD
318
20
0
20 Dec 2022
Malign Overfitting: Interpolation Can Provably Preclude Invariance
Yoav Wald
G. Yona
Uri Shalit
Y. Carmon
442
9
0
28 Nov 2022
Trade-off between reconstruction loss and feature alignment for domain generalization
International Conference on Machine Learning and Applications (ICMLA), 2022
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
341
2
0
26 Oct 2022
PAC Generalization via Invariant Representations
International Conference on Machine Learning (ICML), 2022
Advait Parulekar
Karthikeyan Shanmugam
Sanjay Shakkottai
368
4
0
30 May 2022
Fair Representation Learning through Implicit Path Alignment
International Conference on Machine Learning (ICML), 2022
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
298
32
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26 May 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
337
43
0
18 Mar 2022
Fine-Tuning can Distort Pretrained Features and Underperform Out-of-Distribution
International Conference on Learning Representations (ICLR), 2022
Ananya Kumar
Aditi Raghunathan
Robbie Jones
Tengyu Ma
Abigail Z. Jacobs
OODD
502
895
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
397
88
0
14 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
International Conference on Machine Learning (ICML), 2022
Haoxiang Wang
Haozhe Si
Yue Liu
Han Zhao
OOD
389
38
0
30 Jan 2022
Conditional entropy minimization principle for learning domain invariant representation features
International Conference on Pattern Recognition (ICPR), 2022
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
265
8
0
25 Jan 2022
Near-Optimal Linear Regression under Distribution Shift
International Conference on Machine Learning (ICML), 2021
Qi Lei
Wei Hu
Jason D. Lee
OOD
176
45
0
23 Jun 2021
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