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Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation


Jun 07, 2021
Liyuan Xu, Heishiro Kanagawa, Arthur Gretton


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On Instrumental Variable Regression for Deep Offline Policy Evaluation


May 21, 2021
Yutian Chen, Liyuan Xu, Caglar Gulcehre, Tom Le Paine, Arthur Gretton, Nando de Freitas, Arnaud Doucet


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Learning Deep Features in Instrumental Variable Regression


Nov 01, 2020
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton


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Kernel Methods for Policy Evaluation: Treatment Effects, Mediation Analysis, and Off-Policy Planning


Oct 13, 2020
Rahul Singh, Liyuan Xu, Arthur Gretton

* 66 pages, 6 figures 

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Similarity-based Classification: Connecting Similarity Learning to Binary Classification


Jun 11, 2020
Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama

* 22 pages 

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Uncoupled Regression from Pairwise Comparison Data


Jun 03, 2019
Liyuan Xu, Junya Honda, Gang Niu, Masashi Sugiyama


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Polynomial-time Algorithms for Combinatorial Pure Exploration with Full-bandit Feedback


Feb 27, 2019
Yuko Kuroki, Liyuan Xu, Atsushi Miyauchi, Junya Honda, Masashi Sugiyama

* 23 pages 

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Dueling Bandits with Qualitative Feedback


Sep 18, 2018
Liyuan Xu, Junya Honda, Masashi Sugiyama


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Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data


Sep 15, 2018
Masahiro Kato, Liyuan Xu, Gang Niu, Masashi Sugiyama


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Fully adaptive algorithm for pure exploration in linear bandits


Oct 16, 2017
Liyuan Xu, Junya Honda, Masashi Sugiyama


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