Nonlinear Invariant Risk Minimization: A Causal Approach

Nonlinear Invariant Risk Minimization: A Causal Approach

24 February 2021

Jośe Miguel Hernández-Lobato

Bernhard Schölkopf

Papers citing "Nonlinear Invariant Risk Minimization: A Causal Approach"

10 / 10 papers shown

Title
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 Gaojie Jin Ronghui Mu Xinping Yi Xiaowei Huang Lijun Zhang 67 0 0 01 Jul 2024
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 20 6 0 02 Jul 2023
An Invariant Learning Characterization of Controlled Text Generation Carolina Zheng Claudia Shi Keyon Vafa Amir Feder David M. Blei OOD 24 8 0 31 May 2023
Invariant and Transportable Representations for Anti-Causal Domain Shifts Yibo Jiang Victor Veitch OOD 123 32 0 04 Jul 2022
From Statistical to Causal Learning Bernhard Schölkopf Julius von Kügelgen CML 28 45 0 01 Apr 2022
Weakly supervised causal representation learning Johann Brehmer P. D. Haan Phillip Lippe Taco S. Cohen OOD CML 30 120 0 30 Mar 2022
Towards Principled Disentanglement for Domain Generalization Hanlin Zhang Yi-Fan Zhang Weiyang Liu Adrian Weller Bernhard Schölkopf Eric P. Xing OOD 28 112 0 27 Nov 2021
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? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 196 125 0 04 Jan 2021