Heishiro Kanagawa
9 papers · 2016–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(7)
Learning Types · Machine Learning
(5)
Bayesian & Probabilistic
(3)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Methods
(1)
Optimization
(1)
Keywords
variational inference
(2)
markov chain monte carlo
(2)
goodness of fit
(2)
reproducing kernel hilbert space
(2)
multi-task learning
(2)
statistical test
(2)
kernel methods
(2)
wake-sleep algorithm
(1)
importance sampling
(1)
policy gradient
(1)
gaussian process
(1)
posterior distribution
(1)
nonparametric bayesian
(1)
sequential model
(1)
alternating minimization
(1)
probability density
(1)
monte carlo sampling
(1)
model comparison
(1)
latent variable model
(1)
minimax optimality
(1)
Papers
Reinforcement Learning for Adaptive MCMC
AISTATS 2025
A Kernel Stein Test of Goodness of Fit for Sequential Models
ICML 2023
Stein Π-Importance Sampling
NeurIPS 2023
Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation
NeurIPS 2021
Amortised Learning by Wake-Sleep
ICML 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
UAI 2020
Informative Features for Model Comparison
NeurIPS 2018
Gaussian process nonparametric tensor estimator and its minimax optimality
ICML 2016
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning
NeurIPS 2016