Masayuki Karasuyama
16 papers · 2009–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Optimization & Theory
(13)
Mathematics & Optimization
(10)
Optimization
(10)
Bayesian & Probabilistic Β· Machine Learning
(5)
Core Methods
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Artificial Intelligence
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Bayesian & Probabilistic Β· Artificial Intelligence
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Mathematics
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Keywords
bayesian optimization
(10)
acquisition function
(4)
information gain
(3)
gaussian process
(3)
multi-objective optimization
(2)
max-value entropy search
(2)
hyperparameter tuning
(2)
black-box function
(2)
preference learning
(2)
lower bound
(2)
gaussian processes
(2)
markov chain monte carlo
(1)
manifold learning
(1)
cross validation
(1)
constrained optimization
(1)
graph structure
(1)
black-box optimization
(1)
semi-supervised learning
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incremental learning
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generalization error
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Papers
Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems
UAI 2026
Pareto-frontier Entropy Search with Variational Lower Bound Maximization
ICML 2025
Multi-Objective Bayesian Optimization with Active Preference Learning
AAAI 2024
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds
ICML 2024
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets
AISTATS 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
ICML 2023
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes
ICML 2023
Bayesian Optimization for Distributionally Robust Chance-constrained Problem
ICML 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound
ICML 2022
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
ICML 2020
Multi-objective Bayesian Optimization using Pareto-frontier Entropy
ICML 2020
Factor Analysis on a Graph
AISTATS 2018
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling
ICML 2016
Regularization Path of Cross-Validation Error Lower Bounds
NeurIPS 2015
Manifold-based Similarity Adaptation for Label Propagation
NeurIPS 2013
Multiple Incremental Decremental Learning of Support Vector Machines
NeurIPS 2009