Active Invariant Causal Prediction: Experiment Selection through
Stability

v1v2v3 (latest)

Active Invariant Causal Prediction: Experiment Selection through Stability

10 June 2020

Juan L. Gamella

ArXiv (abs)PDF HTML

Papers citing "Active Invariant Causal Prediction: Experiment Selection through Stability"

13 / 13 papers shown

Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 187 8 0 13 Mar 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 150 3 0 04 Feb 2025
Targeted Sequential Indirect Experiment Design Elisabeth Ailer Niclas Dern Jason S. Hartford Niki Kilbertus 111 3 0 30 May 2024
Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang Zhen Fang Yonggang Zhang Yali Du Furui Liu Jean-François Ton Jianhong Wang Jun Wang OODD 148 14 0 22 Sep 2023
Active Learning for Optimal Intervention Design in Causal Models Jiaqi Zhang Louis V. Cammarata C. Squires T. Sapsis Caroline Uhler CML 109 28 0 10 Sep 2022
Probable Domain Generalization via Quantile Risk Minimization Cian Eastwood Alexander Robey Shashank Singh Julius von Kügelgen Hamed Hassani George J. Pappas Bernhard Schölkopf OOD 121 67 0 20 Jul 2022
Interventions, Where and How? Experimental Design for Causal Models at Scale P. Tigas Yashas Annadani Andrew Jesson Bernhard Schölkopf Y. Gal Stefan Bauer CML 150 50 0 03 Mar 2022
Invariant Ancestry Search Phillip B. Mogensen Nikolaj Thams J. Peters 96 5 0 02 Feb 2022
Automated causal inference in application to randomized controlled clinical trials Ji Q. Wu N. Horeweg M. de Bruyn R. Nout I. Jürgenliemk-Schulz ... H. Nijman V. Smit T. Bosse C. Creutzberg V. Koelzer CML 62 14 0 15 Jan 2022
Learning Neural Causal Models with Active Interventions Nino Scherrer O. Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke CML 123 44 0 06 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 168 536 0 31 Aug 2021
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning Scott Sussex Andreas Krause Caroline Uhler CML 92 20 0 28 May 2021
Learning and scoring Gaussian latent variable causal models with unknown additive interventions Armeen Taeb Juan L. Gamella C. Heinze-Deml Peter Buhlmann CML 126 2 0 18 Jan 2021