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Adapting to Latent Subgroup Shifts via Concepts and Proxies


Dec 21, 2022
Ibrahim Alabdulmohsin, Nicole Chiou, Alexander D'Amour, Arthur Gretton, Sanmi Koyejo, Matt J. Kusner, Stephen R. Pfohl, Olawale Salaudeen, Jessica Schrouff, Katherine Tsai

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* Authors listed in alphabetical order 

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Efficient Conditionally Invariant Representation Learning


Dec 16, 2022
Roman Pogodin, Namrata Deka, Yazhe Li, Danica J. Sutherland, Victor Veitch, Arthur Gretton

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Controlling Moments with Kernel Stein Discrepancies


Nov 10, 2022
Heishiro Kanagawa, Arthur Gretton, Lester Mackey

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* 49 pages, 19 figures 

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Maximum Likelihood Learning of Energy-Based Models for Simulation-Based Inference


Oct 26, 2022
Pierre Glaser, Michael Arbel, Arnaud Doucet, Arthur Gretton

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A kernel Stein test of goodness of fit for sequential models


Oct 19, 2022
Jerome Baum, Heishiro Kanagawa, Arthur Gretton

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* 13 pages 

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A Neural Mean Embedding Approach for Back-door and Front-door Adjustment


Oct 12, 2022
Liyuan Xu, Arthur Gretton

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Optimal Rates for Regularized Conditional Mean Embedding Learning


Aug 02, 2022
Zhu Li, Dimitri Meunier, Mattes Mollenhauer, Arthur Gretton

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Discussion of `Multiscale Fisher's Independence Test for Multivariate Dependence'


Jun 22, 2022
Antonin Schrab, Wittawat Jitkrittum, Zoltán Szabó, Dino Sejdinovic, Arthur Gretton

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* 8 pages 

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Efficient Aggregated Kernel Tests using Incomplete $U$-statistics


Jun 18, 2022
Antonin Schrab, Ilmun Kim, Benjamin Guedj, Arthur Gretton

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* 31 pages 

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Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach


Jun 18, 2022
Yuchen Zhu, Limor Gultchin, Arthur Gretton, Matt Kusner, Ricardo Silva

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* UAI 2022 (Oral) 

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