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Fundamental Limits and Tradeoffs in Invariant Representation Learning
v1v2v3v4 (latest)

Fundamental Limits and Tradeoffs in Invariant Representation Learning

Journal of machine learning research (JMLR), 2020
19 December 2020
Han Zhao
Chen Dan
Bryon Aragam
Tommi Jaakkola
Geoffrey J. Gordon
Pradeep Ravikumar
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fundamental Limits and Tradeoffs in Invariant Representation Learning"

29 / 29 papers shown
Structured Contrastive Learning for Interpretable Latent Representations
Structured Contrastive Learning for Interpretable Latent Representations
Zhengyang Shen
Hua Tu
Mayue Shi
DRL
253
0
0
18 Nov 2025
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery
Shiji Zhou
Tianbai Yu
Zhi Zhang
Heng Chang
Xiao Zhou
Dong Wu
Han Zhao
MU
306
1
0
25 Oct 2025
Causal Representation Learning with Observational Grouping for CXR Classification
Causal Representation Learning with Observational Grouping for CXR Classification
Rajat Rasal
Avinash Kori
Ben Glocker
OODCML
317
1
0
25 Jun 2025
When Shift Happens - Confounding Is to Blame
When Shift Happens - Confounding Is to Blame
Abbavaram Gowtham Reddy
Celia Rubio-Madrigal
R. Burkholz
Krikamol Muandet
OOD
356
3
0
27 May 2025
Multimodal 3D Genome Pre-training
Multimodal 3D Genome Pre-training
Minghao Yang
Pengteng Li
Yan Liang
Qianyi Cai
Zhihang Zheng
Shichen Zhang
Pengfei Zhang
Zhi-An Huang
Hui Xiong
297
0
0
12 Apr 2025
Fundamental Limits of Perfect Concept Erasure
Fundamental Limits of Perfect Concept ErasureInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Somnath Basu Roy Chowdhury
Avinava Dubey
Ahmad Beirami
Rahul Kidambi
Nicholas Monath
Amr Ahmed
Snigdha Chaturvedi
317
3
0
25 Mar 2025
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
Hong Zheng
Yucheng Chen
Nan Mu
Xiaoning Li
445
1
0
23 Mar 2025
Information Subtraction: Learning Representations for Conditional Entropy
Information Subtraction: Learning Representations for Conditional Entropy
Keng Hou Leong
Yuxuan Xiu
Wai Kin
Chan
302
1
0
02 Jan 2025
Towards Understanding the Role of Sharpness-Aware Minimization
  Algorithms for Out-of-Distribution Generalization
Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization
Samuel Schapiro
Han Zhao
461
1
0
06 Dec 2024
FedGTST: Boosting Global Transferability of Federated Models via
  Statistics Tuning
FedGTST: Boosting Global Transferability of Federated Models via Statistics TuningNeural Information Processing Systems (NeurIPS), 2024
Peizhi Niu
Chao Pan
Rasoul Etesami
Han Zhao
S. Rasoul Etesami
FedMLAAML
300
0
0
16 Oct 2024
Rethinking Fair Representation Learning for Performance-Sensitive Tasks
Rethinking Fair Representation Learning for Performance-Sensitive TasksInternational Conference on Learning Representations (ICLR), 2024
Charles Jones
Fabio De Sousa Ribeiro
Mélanie Roschewitz
Daniel Coelho De Castro
Ben Glocker
FaMLOODCML
701
7
0
05 Oct 2024
COD: Learning Conditional Invariant Representation for Domain Adaptation
  Regression
COD: Learning Conditional Invariant Representation for Domain Adaptation RegressionEuropean Conference on Computer Vision (ECCV), 2024
Hao-Ran Yang
Chuan-Xian Ren
You-Wei Luo
CMLAI4CE
273
8
0
13 Aug 2024
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain
  Adaptation
Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
Eduardo Fernandes Montesuma
F. E. Castellon
Fred-Maurice Ngole-Mboula
Aurélien Mayoue
Antoine Souloumiac
Cédric Gouy-Pailler
303
1
0
16 Jul 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency
  and Theoretical Insights
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights
You-Wei Luo
Chuan-Xian Ren
OOD
227
6
0
24 Jun 2024
The Impossibility of Fair LLMs
The Impossibility of Fair LLMs
Jacy Reese Anthis
Kristian Lum
Michael Ekstrand
Avi Feller
Alexander D’Amour
FaML
533
29
0
28 May 2024
SimMMDG: A Simple and Effective Framework for Multi-modal Domain
  Generalization
SimMMDG: A Simple and Effective Framework for Multi-modal Domain GeneralizationNeural Information Processing Systems (NeurIPS), 2023
Hao Dong
Ismail Nejjar
Han Sun
Eleni Chatzi
Olga Fink
381
61
0
30 Oct 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and
  Group Fairness
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessNeural Information Processing Systems (NeurIPS), 2023
Jacy Reese Anthis
Victor Veitch
257
21
0
30 Oct 2023
Domain Generalization without Excess Empirical Risk
Domain Generalization without Excess Empirical RiskNeural Information Processing Systems (NeurIPS), 2023
Ozan Sener
V. Koltun
284
10
0
30 Aug 2023
Text Descriptions are Compressive and Invariant Representations for
  Visual Learning
Text Descriptions are Compressive and Invariant Representations for Visual Learning
Zhili Feng
Anna Bair
J. Zico Kolter
VLM
256
7
0
10 Jul 2023
Are demographically invariant models and representations in medical
  imaging fair?
Are demographically invariant models and representations in medical imaging fair?
Eike Petersen
Enzo Ferrante
M. Ganz
Aasa Feragen
MedIm
380
11
0
02 May 2023
Understanding and Constructing Latent Modality Structures in Multi-modal
  Representation Learning
Understanding and Constructing Latent Modality Structures in Multi-modal Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023
Qian Jiang
Changyou Chen
Han Zhao
Liqun Chen
Q. Ping
S. D. Tran
Yi Xu
Belinda Zeng
Trishul Chilimbi
279
73
0
10 Mar 2023
Competence-Based Analysis of Language Models
Competence-Based Analysis of Language Models
Adam Davies
Jize Jiang
Chengxiang Zhai
ELM
403
8
0
01 Mar 2023
Repeated Environment Inference for Invariant Learning
Repeated Environment Inference for Invariant Learning
Aayush Mishra
Anqi Liu
BDLOOD
288
0
0
26 Jul 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization
  Dilemma in Out-of-Distribution Generalization
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution GeneralizationInternational Conference on Learning Representations (ICLR), 2022
Yongqiang Chen
Kaiwen Zhou
Yatao Bian
Binghui Xie
Bing Wu
...
Kaili Ma
Han Yang
P. Zhao
Bo Han
James Cheng
OODOODD
247
49
0
15 Jun 2022
Algorithms and Theory for Supervised Gradual Domain Adaptation
Algorithms and Theory for Supervised Gradual Domain Adaptation
Jing Dong
Shiji Zhou
Baoxiang Wang
Haiying Zhao
OOD
260
10
0
25 Apr 2022
On Characterizing the Trade-off in Invariant Representation Learning
On Characterizing the Trade-off in Invariant Representation Learning
Bashir Sadeghi
Sepehr Dehdashtian
Vishnu Boddeti
343
13
0
08 Sep 2021
Invariant Information Bottleneck for Domain Generalization
Invariant Information Bottleneck for Domain GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Liu
Yifei Shen
Yezhen Wang
Wenzhen Zhu
Colorado Reed
Jun Zhang
Dongsheng Li
Kurt Keutzer
Han Zhao
OOD
797
152
0
11 Jun 2021
Understanding and Mitigating Accuracy Disparity in Regression
Understanding and Mitigating Accuracy Disparity in RegressionInternational Conference on Machine Learning (ICML), 2021
Jianfeng Chi
Yuan Tian
Geoffrey J. Gordon
Han Zhao
241
29
0
24 Feb 2021
A Theory of Label Propagation for Subpopulation Shift
A Theory of Label Propagation for Subpopulation ShiftInternational Conference on Machine Learning (ICML), 2021
Tianle Cai
Ruiqi Gao
Jason D. Lee
Qi Lei
356
55
0
22 Feb 2021
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