Hideitsu Hino
8 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (17) 🏆 Keyword Champion
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(7)
Artificial Intelligence
(3)
Core Methods
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Security & Privacy
(1)
Application Areas
(1)
Core AI
(1)
Differential Privacy
(1)
Foundations
(1)
Learning Types
(1)
Statistics
(1)
Keywords
causal inference
(1)
active learning
(1)
probabilistic modeling
(1)
black-box optimization
(1)
variational inference
(1)
regularization
(1)
bayesian inference
(1)
matrix factorization
(1)
bregman divergence
(1)
hypothesis testing
(1)
discrete optimization
(1)
multivariate analysis
(1)
statistical estimation
(1)
boltzmann machine
(1)
latent subspace
(1)
bayesian optimization
(1)
determinantal point process
(1)
generalization bound
(1)
dynamical system
(1)
statistical learning
(1)
Papers
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
AISTATS 2025
Difference-of-submodular Bregman Divergence
ICLR 2025
Scalable Sobolev IPM for Probability Measures on a Graph
ICML 2025
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models
CLeaR 2024
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets
AISTATS 2023
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation
AISTATS 2022
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization
AAAI 2021
Stopping criterion for active learning based on deterministic generalization bounds
AISTATS 2020