Heishiro Kanagawa
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
4
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Reinforcement Learning for Adaptive MCMC. | Congye Wang, Wilson Ye Chen, Heishiro Kanagawa, Chris J. Oates |
| 2023 | ICML | A Kernel Stein Test of Goodness of Fit for Sequential Models. | Jerome Baum, Heishiro Kanagawa, Arthur Gretton |
| 2020 | ICML | Amortised Learning by Wake-Sleep. | Li K. Wenliang, Theodore H. Moskovitz, Heishiro Kanagawa, Maneesh Sahani |
| 2020 | UAI | Testing Goodness of Fit of Conditional Density Models with Kernels. | Wittawat Jitkrittum, Heishiro Kanagawa, Bernhard Schlkopf |
| 2019 | ECIR | Cross-Domain Recommendation via Deep Domain Adaptation. | Heishiro Kanagawa, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami, Taiji Suzuki |
| 2016 | ICML | Gaussian process nonparametric tensor estimator and its minimax optimality. | Heishiro Kanagawa, Taiji Suzuki, Hayato Kobayashi, Nobuyuki Shimizu, Yukihiro Tagami |