← Authors

Masayuki Karasuyama

15 papers · 2009–2025 · 4 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (16) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (4) πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (66) πŸ“ˆ Trend Setter πŸ’Ž Century Club (15)

Conferences

ICML (9) NIPS (3) AISTATS (2) AAAI (1)

Top co-authors

Shion Takeno (8) Ichiro Takeuchi (8) Yu Inatsu (3) Atsushi Shibagaki (2) Tomoyuki Tamura (2) Hiroshi Mamitsuka (2) Kazuki Shitara (2) Hideaki Ishibashi (1) Youhei Kanzaki (1) Ryota Ozaki (1)

Keywords

bayesian optimization (8) gaussian process (3) acquisition function (3) max-value entropy search (2) preference learning (2) gaussian processes (2) multi-objective optimization (2) cross validation (1) manifold learning (1) semi-supervised learning (1) constrained optimization (1) markov chain monte carlo (1) graph structure (1) incremental learning (1) black-box optimization (1) generalization error (1) gibbs sampling (1) graph-based learning (1) sparse modeling (1) mutual information (1)

Papers

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
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes ICML 2023
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
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-objective Bayesian Optimization using Pareto-frontier Entropy ICML 2020
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization 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 NIPS 2015
Manifold-based Similarity Adaptation for Label Propagation NIPS 2013
Multiple Incremental Decremental Learning of Support Vector Machines NIPS 2009