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Arthur Gretton

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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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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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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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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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Efficient Aggregated Kernel Tests using Incomplete $U$-statistics

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

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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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