Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions

28 October 2020

Papers citing "Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions"

12 / 12 papers shown

Title
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 103 1,158 0 02 Jul 2020
Domain Generalization using Causal Matching Divyat Mahajan Shruti Tople Amit Sharma OOD 94 337 0 12 Jun 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 221 2,064 0 16 Apr 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 88 252 0 11 Feb 2020
Agnostic Federated Learning M. Mohri Gary Sivek A. Suresh FedML 139 941 0 01 Feb 2019
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 102 853 0 13 Jul 2018
Algorithms and Theory for Multiple-Source Adaptation Judy Hoffman M. Mohri Ningshan Zhang OOD 74 172 0 20 May 2018
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 119 237 0 20 Jul 2017
Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach John C. Duchi Peter Glynn Hongseok Namkoong 118 325 0 11 Oct 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 417 9,527 0 28 May 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 124 974 0 06 Jan 2015
On Causal and Anticausal Learning Bernhard Schölkopf Dominik Janzing J. Peters Eleni Sgouritsa Kun Zhang Joris Mooij CML 102 612 0 27 Jun 2012