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Nonlinear Invariant Risk Minimization: A Causal Approach

Nonlinear Invariant Risk Minimization: A Causal Approach

24 February 2021
Chaochao Lu
Yuhuai Wu
Jośe Miguel Hernández-Lobato
Bernhard Schölkopf
    CML
    OOD
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Papers citing "Nonlinear Invariant Risk Minimization: A Causal Approach"

14 / 14 papers shown
Title
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
Praharsh Nanavati
Ranjitha Prasad
Karthikeyan Shanmugam
OOD
CML
66
0
0
29 Apr 2025
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
67
0
0
01 Jul 2024
Conditionally Invariant Representation Learning for Disentangling
  Cellular Heterogeneity
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity
H. Aliee
Ferdinand Kapl
Soroor Hediyeh-zadeh
Fabian J. Theis
CML
23
6
0
02 Jul 2023
An Invariant Learning Characterization of Controlled Text Generation
An Invariant Learning Characterization of Controlled Text Generation
Carolina Zheng
Claudia Shi
Keyon Vafa
Amir Feder
David M. Blei
OOD
38
8
0
31 May 2023
Decorr: Environment Partitioning for Invariant Learning and OOD
  Generalization
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization
Yufan Liao
Qi Wu
Zhaodi Wu
Xing Yan
13
4
0
18 Nov 2022
Joint covariate-alignment and concept-alignment: a framework for domain
  generalization
Joint covariate-alignment and concept-alignment: a framework for domain generalization
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
24
4
0
01 Aug 2022
Invariant and Transportable Representations for Anti-Causal Domain
  Shifts
Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang
Victor Veitch
OOD
126
32
0
04 Jul 2022
From Statistical to Causal Learning
From Statistical to Causal Learning
Bernhard Schölkopf
Julius von Kügelgen
CML
30
45
0
01 Apr 2022
Weakly supervised causal representation learning
Weakly supervised causal representation learning
Johann Brehmer
P. D. Haan
Phillip Lippe
Taco S. Cohen
OOD
CML
36
120
0
30 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
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
32
29
0
18 Mar 2022
Conditional entropy minimization principle for learning domain invariant
  representation features
Conditional entropy minimization principle for learning domain invariant representation features
Thuan Q. Nguyen
Boyang Lyu
Prakash Ishwar
matthias. scheutz
Shuchin Aeron
OOD
27
7
0
25 Jan 2022
Towards Principled Disentanglement for Domain Generalization
Towards Principled Disentanglement for Domain Generalization
Hanlin Zhang
Yi-Fan Zhang
Weiyang Liu
Adrian Weller
Bernhard Schölkopf
Eric P. Xing
OOD
39
112
0
27 Nov 2021
Optimization-based Causal Estimation from Heterogenous Environments
Optimization-based Causal Estimation from Heterogenous Environments
Mingzhang Yin
Yixin Wang
David M. Blei
OOD
82
17
0
24 Sep 2021
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
198
125
0
04 Jan 2021
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