Invariant Models for Causal Transfer Learning

v1v2v3v4 (latest)

Invariant Models for Causal Transfer Learning

19 July 2015

Mateo Rojas-Carulla

Bernhard Schölkopf

ArXiv (abs)PDF HTML

Papers citing "Invariant Models for Causal Transfer Learning"

10 / 10 papers shown

Title
Invariant Subspace Decomposition Margherita Lazzaretto Jonas Peters Niklas Pfister 93 0 0 15 Apr 2024
Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past Nikolaj Thams Rikke Sondergaard S. Weichwald J. Peters AI4TS CML 69 13 0 11 Mar 2022
Exploiting Independent Instruments: Identification and Distribution Generalization Sorawit Saengkyongam Leonard Henckel Niklas Pfister J. Peters 88 18 0 03 Feb 2022
Invariant Policy Learning: A Causal Perspective Sorawit Saengkyongam Nikolaj Thams J. Peters Niklas Pfister CML OffRL 85 15 0 01 Jun 2021
Stable Prediction across Unknown Environments Kun Kuang Ruoxuan Xiong Peng Cui Susan Athey Bo Li OOD 93 167 0 16 Jun 2018
Learning Independent Causal Mechanisms Giambattista Parascandolo Niki Kilbertus Mateo Rojas-Carulla Bernhard Schölkopf CML OOD DRL 90 182 0 04 Dec 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 125 237 0 20 Jul 2017
Group invariance principles for causal generative models M. Besserve Naji Shajarisales Bernhard Schölkopf Dominik Janzing 77 49 0 05 May 2017
Causal Discovery Using Proxy Variables Mateo Rojas-Carulla Marco Baroni David Lopez-Paz CML 66 15 0 23 Feb 2017
Learning Optimal Interventions Jonas W. Mueller David N. Reshef George Du Tommi Jaakkola 38 9 0 16 Jun 2016