Variance Minimization in the Wasserstein Space for Invariant Causal
Prediction

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Variance Minimization in the Wasserstein Space for Invariant Causal Prediction

13 October 2021

Guillaume Martinet

Alexander Strzalkowski

Barbara E. Engelhardt

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Papers citing "Variance Minimization in the Wasserstein Space for Invariant Causal Prediction"

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Title
Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space Jacob Feitelberg Kyuseong Choi Anish Agarwal Raaz Dwivedi OffRL 60 1 0 17 Oct 2024
Efficient Identification of Direct Causal Parents via Invariance and Minimum Error Testing Minh Le Nguyen Mert R. Sabuncu 54 1 0 19 Sep 2024
Wasserstein Geodesic Generator for Conditional Distributions Young-geun Kim Kyungbok Lee Youngwon Choi Joong-Ho Won M. Paik 100 4 0 20 Aug 2023
Causal Discovery using Model Invariance through Knockoff Interventions Wasim Ahmad M. Shadaydeh Joachim Denzler CML 57 4 0 08 Jul 2022
Invariant Ancestry Search Phillip B. Mogensen Nikolaj Thams J. Peters 96 5 0 02 Feb 2022
Which Invariance Should We Transfer? A Causal Minimax Learning Approach Mingzhou Liu Xiangyu Zheng Xinwei Sun Fang Fang Yizhou Wang OOD 47 2 0 05 Jul 2021