Publications

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

Liyuan Xu, Arthur Gretton

Importance Weighted Kernel Bayes’ Rule

Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton

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

Liyuan Xu, Heishiro Kanagawa, Arthur Gretton

PDF Code Openreview

On Instrumental Variable Regression for Deep Offline Policy Evaluation

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

Learning Deep Features in Instrumental Variable Regression

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

PDF Code Poster Openreview Qiita(Japanese)

Reproducing Kernel Methods for Nonparametric and Semiparametric Treatment Effects

Rahul Singh, Liyuan Xu, Arthur Gretton

Value of laboratory results in addition to vital signs in a machine learning algorithm to predict in-hospital cardiac arrest: A single-center retrospective cohort study

Ryo Ueno, Liyuan Xu, Wataru Uegami, Hiroki Matsui, Jun Okui, Hiroshi Hayashi, Toru Miyajima, Yoshiro Hayashi, David Pilcher, Daryl Jones

Similarity-based Classification: Connecting Similarity Learning to Binary Classification

Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama

Uncoupled Regression from Pairwise Comparison Data

Liyuan Xu, Junya Honda, Gang Niu, Masashi Sugiyama

PDF Code Poster Slides NeurIPS ArXiv

Polynomial-time Algorithms for Multiple-arm Identification with Full-bandit Feedback

Yuko Kuroki, Liyuan Xu, Atsushi Miyauchi, Junya Honda, Masashi Sugiyama

Dueling Bandits with Qualitative Feedback

Liyuan Xu, Junya Honda, Masashi Sugiyama

PDF Poster AAAI ArXiv Qiita(Japanese)

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

Masahiro Kato, Liyuan Xu, Gang Niu, Masashi Sugiyama

A Fully Adaptive Algorithm for Pure Exploration in Linear Bandits

Liyuan Xu, Junya Honda, Masashi Sugiyama

PDF Code Poster PMLR ArXiv Qiita(Japanese)