Heishiro Kanagawa

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Goodness Of Fit

Gaussian Process

Kolmogorov Smirnov

Top Venues

Publications

Congye Wang, Wilson Ye Chen, Heishiro Kanagawa, Chris J. Oates
Reinforcement Learning for Adaptive MCMC. CoRR (2024)
Jerome Baum, Heishiro Kanagawa, Arthur Gretton
A Kernel Stein Test of Goodness of Fit for Sequential Models. ICML (2023)
Congye Wang, Ye Chen, Heishiro Kanagawa, Chris J. Oates
Stein Π-Importance Sampling. NeurIPS (2023)
Heishiro Kanagawa, Arthur Gretton, Lester Mackey
Controlling Moments with Kernel Stein Discrepancies. CoRR (2022)
Jerome Baum, Heishiro Kanagawa, Arthur Gretton
A kernel Stein test of goodness of fit for sequential models. CoRR (2022)
Liyuan Xu, Heishiro Kanagawa, Arthur Gretton
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation. CoRR (2021)
Liyuan Xu, Heishiro Kanagawa, Arthur Gretton
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation. NeurIPS (2021)
Li Kevin Wenliang, Theodore Moskovitz, Heishiro Kanagawa, Maneesh Sahani
Amortised Learning by Wake-Sleep. CoRR (2020)
Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schölkopf
Testing Goodness of Fit of Conditional Density Models with Kernels. CoRR (2020)
Li K. Wenliang, Theodore Moskovitz, Heishiro Kanagawa, Maneesh Sahani
Amortised Learning by Wake-Sleep. ICML (2020)
Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schölkopf
Testing Goodness of Fit of Conditional Density Models with Kernels. UAI (2020)
Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki
Cross-Domain Recommendation via Deep Domain Adaptation. ECIR (2) (2019)
Heishiro Kanagawa, Wittawat Jitkrittum, Lester Mackey, Kenji Fukumizu, Arthur Gretton
A Kernel Stein Test for Comparing Latent Variable Models. CoRR (2019)
Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy, James Hays, Bernhard Schölkopf, Arthur Gretton
Informative Features for Model Comparison. CoRR (2018)
Wittawat Jitkrittum, Heishiro Kanagawa, Patsorn Sangkloy, James Hays, Bernhard Schölkopf, Arthur Gretton
Informative Features for Model Comparison. NeurIPS (2018)
Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki
Cross-domain Recommendation via Deep Domain Adaptation. CoRR (2018)
Heishiro Kanagawa, Taiji Suzuki, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami
Gaussian process nonparametric tensor estimator and its minimax optimality. ICML (2016)
Taiji Suzuki, Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning. NIPS (2016)