Causality-Inspired Robustness for Nonlinear Models via Representation Learning

Causality-Inspired Robustness for Nonlinear Models via Representation Learning

19 May 2025

Peter Bühlmann

Papers citing "Causality-Inspired Robustness for Nonlinear Models via Representation Learning"

13 / 13 papers shown

Title
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm Miao Lu Han Zhong Tong Zhang Jose H. Blanchet OffRL OOD 93 9 0 04 Apr 2024
Identifying Representations for Intervention Extrapolation Sorawit Saengkyongam Ezgi Ozyilkan Pradeep Ravikumar Niklas Pfister Jonas Peters CML OOD 35 16 0 06 Oct 2023
Causality-oriented robustness: exploiting general noise interventions Xinwei Shen Peter Buhlmann Armeen Taeb OOD 99 8 0 18 Jul 2023
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 75 52 0 20 Jun 2022
Identifiable Deep Generative Models via Sparse Decoding Gemma E. Moran Dhanya Sridhar Yixin Wang David M. Blei BDL 52 48 0 20 Oct 2021
Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments Yining Chen Elan Rosenfeld Mark Sellke Tengyu Ma Andrej Risteski OOD 57 33 0 18 Jun 2021
An Online Learning Approach to Interpolation and Extrapolation in Domain Generalization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski 83 35 0 25 Feb 2021
On Linear Identifiability of Learned Representations Geoffrey Roeder Luke Metz Diederik P. Kingma CML 55 81 0 01 Jul 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA Ilyes Khemakhem R. Monti Diederik P. Kingma Aapo Hyvarinen CML 64 114 0 26 Feb 2020
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 285 12,060 0 19 Jun 2017
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 196 741 0 24 May 2017
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 114 969 0 06 Jan 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 252 19,045 0 20 Dec 2014