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Learning Invariant Representations under General Interventions on the Response

22 August 2022

Papers citing "Learning Invariant Representations under General Interventions on the Response"

25 / 25 papers shown

Title
Generalized Invariant Matching Property via LASSO Kang Du Yu Xiang OOD 86 6 0 14 Jan 2023
An Invariant Matching Property for Distribution Generalization under Intervened Response Kang Du Yu Xiang OOD 65 4 0 18 May 2022
Does Invariant Risk Minimization Capture Invariance? Pritish Kamath Akilesh Tangella Danica J. Sutherland Nathan Srebro OOD 261 128 0 04 Jan 2021
Causal Inference from Slowly Varying Nonstationary Processes Kang Du Yu Xiang 98 6 0 23 Dec 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 115 40 0 29 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 80 312 0 12 Oct 2020
A Unified View of Label Shift Estimation Saurabh Garg Yifan Wu Sivaraman Balakrishnan Zachary Chase Lipton 69 144 0 17 Mar 2020
Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift Rémi Tachet des Combes Han Zhao Yu Wang Geoffrey J. Gordon OOD AAML VLM 74 188 0 10 Mar 2020
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 192 2,229 0 05 Jul 2019
Regularized Learning for Domain Adaptation under Label Shifts Kamyar Azizzadenesheli Anqi Liu Fanny Yang Anima Anandkumar 41 206 0 22 Mar 2019
On Target Shift in Adversarial Domain Adaptation Yitong Li M. Murias Samantha Major G. Dawson David E. Carlson OOD 35 30 0 15 Mar 2019
Semidefinite relaxations for certifying robustness to adversarial examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 100 439 0 02 Nov 2018
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 61 419 0 20 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 94,891 0 11 Oct 2018
Detecting and Correcting for Label Shift with Black Box Predictors Zachary Chase Lipton Yu Wang Alex Smola OOD 66 554 0 12 Feb 2018
Wasserstein Distributionally Robust Optimization and Variation Regularization Rui Gao Xi Chen A. Kleywegt OOD 61 131 0 17 Dec 2017
Certifying Some Distributional Robustness with Principled Adversarial Training Aman Sinha Hongseok Namkoong Riccardo Volpi John C. Duchi OOD 125 863 0 29 Oct 2017
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Sara Magliacane T. V. Ommen Tom Claassen Stephan Bongers Philip Versteeg Joris M. Mooij OOD CML 108 236 0 20 Jul 2017
Invariant Causal Prediction for Sequential Data Niklas Pfister Peter Buhlmann J. Peters OOD 56 122 0 25 Jun 2017
Learning Causal Structures Using Regression Invariance AmirEmad Ghassami Saber Salehkaleybar Negar Kiyavash Kun Zhang OOD CML 61 61 0 26 May 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey G. Csurka OOD 68 507 0 17 Feb 2017
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 378 9,497 0 28 May 2015
External Validity: From Do-Calculus to Transportability Across Populations Judea Pearl Elias Bareinboim 60 333 0 05 Mar 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 122 971 0 06 Jan 2015
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 91 609 0 27 Jun 2012