Heishiro Kanagawa
9 papers · 2016–2025 · 4 conferences · across top CS/AI conferences
Achievements
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๐บ๏ธ Taxonomy Completionist (19) ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (4) ๐ Academic Marathon (9)
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Cross-Pollinator
(12)
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Interdisciplinary Bridge
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Trend Setter
Conferences
NIPS (4)
ICML (3)
AISTATS (1)
UAI (1)
Top co-authors
Research topics
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