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Liyuan Xu
Liyuan Xu
Verified email at ms.k.u-tokyo.ac.jp
Title
Cited by
Cited by
Year
A fully adaptive algorithm for pure exploration in linear bandits
L Xu, J Honda, M Sugiyama
International Conference on Artificial Intelligence and Statistics, 843-851, 2018
682018
Learning deep features in instrumental variable regression
L Xu, Y Chen, S Srinivasan, N de Freitas, A Doucet, A Gretton
arXiv preprint arXiv:2010.07154, 2020
172020
Polynomial-time algorithms for multiple-arm identification with full-bandit feedback
Y Kuroki, L Xu, A Miyauchi, J Honda, M Sugiyama
Neural Computation 32 (9), 1733-1773, 2020
142020
Alternate estimation of a classifier and the class-prior from positive and unlabeled data
M Kato, L Xu, G Niu, M Sugiyama
arXiv preprint arXiv:1809.05710, 2018
102018
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
L Xu, H Kanagawa, A Gretton
Advances in Neural Information Processing Systems 34, 26264-26275, 2021
82021
Similarity-based classification: Connecting similarity learning to binary classification
H Bao, T Shimada, L Xu, I Sato, M Sugiyama
arXiv preprint arXiv:2006.06207, 2020
82020
Kernel methods for policy evaluation: Treatment effects, mediation analysis, and off-policy planning
R Singh, L Xu, A Gretton
82020
Reproducing kernel methods for nonparametric and semiparametric treatment effects
R Singh, L Xu, A Gretton
arXiv preprint arXiv:2010.04855, 2020
72020
Uncoupled regression from pairwise comparison data
L Xu, J Honda, G Niu, M Sugiyama
Advances in Neural Information Processing Systems 32, 2019
62019
Dueling bandits with qualitative feedback
L Xu, J Honda, M Sugiyama
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5549-5556, 2019
42019
Polynomial-time algorithms for combinatorial pure exploration with full-bandit feedback
Y Kuroki, L Xu, A Miyauchi, J Honda, M Sugiyama
42019
Kernel methods for multistage causal inference: Mediation analysis and dynamic treatment effects
R Singh, L Xu, A Gretton
arXiv preprint arXiv:2111.03950, 2021
32021
On Instrumental Variable Regression for Deep Offline Policy Evaluation
Y Chen, L Xu, C Gulcehre, TL Paine, A Gretton, N de Freitas, A Doucet
arXiv preprint arXiv:2105.10148, 2021
32021
Generalized Kernel Ridge Regression for Nonparametric Structural Functions and Semiparametric Treatment Effects
R Singh, L Xu, A Gretton
arXiv e-prints, arXiv: 2010.04855, 2020
12020
Importance Weighted Kernel Bayesf Rule
L Xu, Y Chen, A Doucet, A Gretton
International Conference on Machine Learning, 24524-24538, 2022
2022
Importance Weighting Approach in Kernel Bayes' Rule
L Xu, Y Chen, A Doucet, A Gretton
arXiv preprint arXiv:2202.02474, 2022
2022
Pairwise Supervision Can Provably Elicit a Decision Boundary
H Bao, T Shimada, L Xu, I Sato, M Sugiyama
PMLR, 2022
2022
Kernel Methods for Causal Functions: Dose Response Curves and Heterogeneous Treatment Effects
R Singh, L Xu, A Gretton
arXiv preprint arXiv:2010.04855, 2020
2020
Kernel Methods for Policy Evaluation
R Singh, MIT Economics, L Xu, A Gretton
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Articles 1–19