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Learning explanations that are hard to vary., , , , and . CoRR, (2020)A survey of algorithmic recourse: definitions, formulations, solutions, and prospects., , , and . CoRR, (2020)Modeling confounding by half-sibling regression., , , , , , and . Proc. Natl. Acad. Sci. USA, 113 (27): 7391-7398 (2016)Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National Cohort, , , , , , , , , and 15 other author(s). Investigative Radiology, (2022)A tutorial on support vector regression, and . Statistics and computing, 14 (3): 199--222 (2004)A Kernel Two-Sample Test., , , , and . J. Mach. Learn. Res., (2012)On Pitfalls of Identifiability in Unsupervised Learning. A Note on: "Desiderata for Representation Learning: A Causal Perspective"., , , , and . CoRR, (2022)CausalCite: A Causal Formulation of Paper Citations., , , , , , , and . CoRR, (2023)Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding., , , , and . CoRR, (2023)Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases., , , , and . CoRR, (2021)