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Heishiro Kanagawa
Heishiro Kanagawa
Newcastle University
Verified email at ncl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Cross-domain recommendation via deep domain adaptation
H Kanagawa, H Kobayashi, N Shimizu, Y Tagami, T Suzuki
European Conference on Information Retrieval, 20-29, 2019
892019
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
382021
Blindness of score-based methods to isolated components and mixing proportions
LK Wenliang, H Kanagawa
arXiv preprint arXiv:2008.10087, 2020
342020
Testing Goodness of Fit of Conditional Density Models with Kernels
W Jitkrittum, H Kanagawa, B Schölkopf
Uncertainty in Artificial Intelligence, 221-230, 2020
302020
Informative features for model comparison
W Jitkrittum, H Kanagawa, P Sangkloy, J Hays, B Schölkopf, A Gretton
Advances in neural information processing systems 31, 2018
302018
Gaussian process nonparametric tensor estimator and its minimax optimality
H Kanagawa, T Suzuki, H Kobayashi, N Shimizu, Y Tagami
International conference on machine learning, 1632-1641, 2016
252016
Minimax optimal alternating minimization for kernel nonparametric tensor learning
鈴木大慈
Proceedings of the 30th Annual Conference on Neural Information Processing …, 2016
24*2016
A kernel Stein test for comparing latent variable models
H Kanagawa, W Jitkrittum, L Mackey, K Fukumizu, A Gretton
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
162023
A kernel stein test of goodness of fit for sequential models
J Baum, H Kanagawa, A Gretton
International Conference on Machine Learning, 1936-1953, 2023
112023
Controlling moments with kernel Stein discrepancies
H Kanagawa, A Barp, A Gretton, L Mackey
arXiv preprint arXiv:2211.05408, 2022
62022
Stein -Importance Sampling
C Wang, Y Chen, H Kanagawa, CJ Oates
Advances in Neural Information Processing Systems 36, 2024
42024
Amortised Learning by Wake-Sleep
LK Wenliang, T Moskovitz, H Kanagawa, M Sahani
International Conference on Machine Learning, 10236-10247, 2020
42020
Reinforcement Learning for Adaptive MCMC
C Wang, W Chen, H Kanagawa, C Oates
arXiv preprint arXiv:2405.13574, 2024
22024
Cross-domain recommender systems using domain separation networks and autoencoders
H Kanagawa, H Kobayashi, N Shimizu, Y Tagami
US Patent 11,699,095, 2023
2023
Statistical model evaluation using reproducing kernels and Stein's method
H Kanagawa
UCL (University College London), 2022
2022
Non-parametric tensor learning with Gaussian process prior and its application to multi-task learning
金川平志郎， 鈴木大慈
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 115 (323 …, 2015
2015
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