Karasuyama, Masayuki

22 publications

ICML 2025 Pareto-Frontier Entropy Search with Variational Lower Bound Maximization Masanori Ishikura, Masayuki Karasuyama

JAIR 2025 Regret Analysis for Randomized Gaussian Process Upper Confidence Bound Shion Takeno, Yu Inatsu, Masayuki Karasuyama

TMLR 2025 Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

AAAI 2024 Multi-Objective Bayesian Optimization with Active Preference Learning Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama

ICML 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

AISTATS 2023 A Stopping Criterion for Bayesian Optimization by the Gap of Expected Minimum Simple Regrets Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino

ICML 2023 Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno, Yu Inatsu, Masayuki Karasuyama

ICML 2023 Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes Shion Takeno, Masahiro Nomura, Masayuki Karasuyama

ICML 2022 Bayesian Optimization for Distributionally Robust Chance-Constrained Problem Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi

ICML 2022 Sequential and Parallel Constrained Max-Value Entropy Search via Information Lower Bound Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama

MLJ 2021 Distance Metric Learning for Graph Structured Data Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama

ICML 2020 Multi-Fidelity Bayesian Optimization with Max-Value Entropy Search and Its Parallelization Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama

ICML 2020 Multi-Objective Bayesian Optimization Using Pareto-Frontier Entropy Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama

AISTATS 2018 Factor Analysis on a Graph Masayuki Karasuyama, Hiroshi Mamitsuka

MLJ 2017 Adaptive Edge Weighting for Graph-Based Learning Algorithms Masayuki Karasuyama, Hiroshi Mamitsuka

MLJ 2017 Homotopy Continuation Approaches for Robust SV Classification and Regression Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi

ICML 2016 Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano, Ichiro Takeuchi

NeurIPS 2015 Regularization Path of Cross-Validation Error Lower Bounds Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama, Ichiro Takeuchi

NeurIPS 2013 Manifold-Based Similarity Adaptation for Label Propagation Masayuki Karasuyama, Hiroshi Mamitsuka

MLJ 2012 Multi-Parametric Solution-Path Algorithm for Instance-Weighted Support Vector Machines Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi

ICML 2011 Suboptimal Solution Path Algorithm for Support Vector Machine Masayuki Karasuyama, Ichiro Takeuchi

NeurIPS 2009 Multiple Incremental Decremental Learning of Support Vector Machines Masayuki Karasuyama, Ichiro Takeuchi