Masahiro Kato
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(8)
Learning Types
(6)
Optimization & Theory
(6)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Core AI
(2)
Core Methods
(2)
Knowledge & Reasoning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Mathematics
(1)
Methods
(1)
Optimization
(1)
Reasoning
(1)
Keywords
density ratio estimation
(4)
causal inference
(3)
adaptive experiment
(2)
binary classification
(1)
kl divergence
(1)
sample complexity
(1)
bayesian inference
(1)
outlier detection
(1)
maximum likelihood
(1)
bregman divergence
(1)
covariate shift
(1)
best arm identification
(1)
semiparametric estimation
(1)
importance weighting
(1)
off-policy learning
(1)
policy learning
(1)
margin condition
(1)
generalization error bound
(1)
generative model
(1)
anomaly detection
(1)
Papers
General Bayesian Policy Learning
UAI 2026
The Role of Contextual Information in Best Arm Identification
JMLR 2026
LC-Tsallis-INF: Generalized Best-of-Both-Worlds Linear Contextual Bandits
AISTATS 2025
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
ICML 2024
Unified Perspective on Probability Divergence via the Density-Ratio Likelihood: Bridging KL-Divergence and Integral Probability Metrics
AISTATS 2023
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting
ICLR 2022
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
ICML 2021
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy
NeurIPS 2021
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
NeurIPS 2020
Learning from Positive and Unlabeled Data with a Selection Bias
ICLR 2019