← Authors

Heishiro Kanagawa

9 papers · 2016–2025 · 4 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge πŸ“ˆ Trend Setter

Conferences

NIPS (4) ICML (3) AISTATS (1) UAI (1)

Top co-authors

Arthur Gretton (3) Wittawat Jitkrittum (2) Hayato Kobayashi (2) Yukihiro Tagami (2) Bernhard SchΓΆlkopf (2) Taiji Suzuki (2) Congye Wang (2) Nobuyuki Shimizu (2) Wilson Ye Chen (1) Ye Chen (1)

Research topics

Statistics (1)

Keywords

statistical test (2) kernel methods (2) goodness of fit (2) reproducing kernel hilbert space (2) variational inference (2) multitask learning (1) minimax optimality (1) off-policy evaluation (1) importance sampling (1) bandit problem (1) gaussian process (1) wake-sleep algorithm (1) sequential model (1) monte carlo sampling (1) model comparison (1) posterior distribution (1) alternating minimization (1) latent variable model (1) probability density (1) markov chain monte carlo (1)

Papers

Reinforcement Learning for Adaptive MCMC AISTATS 2025
A Kernel Stein Test of Goodness of Fit for Sequential Models ICML 2023
Stein $\Pi$-Importance Sampling NIPS 2023
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation NIPS 2021
Testing Goodness of Fit of Conditional Density Models with Kernels UAI 2020
Amortised Learning by Wake-Sleep ICML 2020
Informative Features for Model Comparison NIPS 2018
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NIPS 2016
Gaussian process nonparametric tensor estimator and its minimax optimality ICML 2016