Xu, Liyuan

12 publications

AISTATS 2025 Density Ratio-Based Proxy Causal Learning Without Density Ratios Bariscan Bozkurt, Ben Deaner, Dimitri Meunier, Liyuan Xu, Arthur Gretton

NeurIPS 2025 Density Ratio-Free Doubly Robust Proxy Causal Learning Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier, Liyuan Xu, Arthur Gretton

AISTATS 2025 Kernel Single Proxy Control for Deterministic Confounding Liyuan Xu, Arthur Gretton

ICLR 2023 A Neural Mean Embedding Approach for Back-Door and Front-Door Adjustment Liyuan Xu, Arthur Gretton

AISTATS 2022 Pairwise Supervision Can Provably Elicit a Decision Boundary Han Bao, Takuya Shimada, Liyuan Xu, Issei Sato, Masashi Sugiyama

ICML 2022 Importance Weighted Kernel Bayes’ Rule Liyuan Xu, Yutian Chen, Arnaud Doucet, Arthur Gretton

JMLR 2022 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

NeurIPS 2021 Deep Proxy Causal Learning and Its Application to Confounded Bandit Policy Evaluation Liyuan Xu, Heishiro Kanagawa, Arthur Gretton

ICLR 2021 Learning Deep Features in Instrumental Variable Regression Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton

AAAI 2019 Dueling Bandits with Qualitative Feedback Liyuan Xu, Junya Honda, Masashi Sugiyama

NeurIPS 2019 Uncoupled Regression from Pairwise Comparison Data Liyuan Xu, Junya Honda, Gang Niu, Masashi Sugiyama

AISTATS 2018 A Fully Adaptive Algorithm for Pure Exploration in Linear Bandits Liyuan Xu, Junya Honda, Masashi Sugiyama