Masayuki Karasuyama

72 papers A* 15A 2B 4Journal 43Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space. KDD (2) Kazuki Ishikawa, Ryota Ozaki, Yohei Kanzaki, Ichiro Takeuchi, Masayuki Karasuyama
2025	J	`jnl`	Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space. CoRR Kazuki Ishikawa, Ryota Ozaki, Yohei Kanzaki, Ichiro Takeuchi, Masayuki Karasuyama
2025	J	`jnl`	Exact Subgraph Isomorphism Network for Predictive Graph Mining. CoRR Taiga Kojima, Masayuki Karasuyama
2025	J	`jnl`	Information-Theoretic Bayesian Optimization for Bilevel Optimization Problems. CoRR Takuya Kanayama, Yuki Ito, Tomoyuki Tamura, Masayuki Karasuyama
2025	A*	`conf`	Pareto-frontier Entropy Search with Variational Lower Bound Maximization. ICML Masanori Ishikura, Masayuki Karasuyama
2025	J	`jnl`	Pareto-frontier Entropy Search with Variational Lower Bound Maximization. CoRR Masanori Ishikura, Masayuki Karasuyama
2025	J	`jnl`	Regret Analysis for Randomized Gaussian Process Upper Confidence Bound. J. Artif. Intell. Res. Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2025	J	`jnl`	Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization. CoRR Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2025	J	`jnl`	Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization. Trans. Mach. Learn. Res. Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2024	—	`conf`	Hot off the Press: Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. GECCO Companion Shion Takeno, Masahiro Nomura, Masayuki Karasuyama
2024	A*	`conf`	Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute. KDD Tajima Shinji, Ren Sugihara, Ryota Kitahara, Masayuki Karasuyama
2024	J	`jnl`	Learning Attributed Graphlets: Predictive Graph Mining by Graphlets with Trainable Attribute. CoRR Tajima Shinji, Ren Sugihara, Ryota Kitahara, Masayuki Karasuyama
2024	A*	`conf`	Multi-Objective Bayesian Optimization with Active Preference Learning. AAAI Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
2024	A*	`conf`	Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. ICML Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2024	J	`jnl`	Regret Analysis for Randomized Gaussian Process Upper Confidence Bound. CoRR Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2023	A	`conf`	A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. AISTATS Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino
2023	J	`jnl`	Multi-Objective Bayesian Optimization with Active Preference Learning. CoRR Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shinya Suzuki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
2023	J	`jnl`	Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. CoRR Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2023	J	`jnl`	Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds. CoRR Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2023	A*	`conf`	Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds. ICML Shion Takeno, Yu Inatsu, Masayuki Karasuyama
2023	A*	`conf`	Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. ICML Shion Takeno, Masahiro Nomura, Masayuki Karasuyama
2023	J	`jnl`	Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. CoRR Shion Takeno, Masahiro Nomura, Masayuki Karasuyama
2022	J	`jnl`	A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy. Neural Comput. Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2022	J	`jnl`	Bayesian Optimization for Cascade-Type Multistage Processes. Neural Comput. Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
2022	A*	`conf`	Bayesian Optimization for Distributionally Robust Chance-constrained Problem. ICML Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
2022	J	`jnl`	Bayesian Optimization for Distributionally Robust Chance-constrained Problem. CoRR Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
2022	A*	`conf`	Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound. ICML Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama
2022	J	`jnl`	Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. IEEE Trans. Knowl. Data Eng. Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi
2021	J	`jnl`	Bayesian Optimization for Cascade-type Multi-stage Processes. CoRR Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
2021	J	`jnl`	Distance metric learning for graph structured data. Mach. Learn. Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2021	J	`jnl`	Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound. CoRR Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama
2020	J	`jnl`	Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions. Neural Comput. Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
2020	J	`jnl`	Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation. Neural Comput. Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi
2020	J	`jnl`	Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling. CoRR Shion Takeno, Yuhki Tsukada, Hitoshi Fukuoka, Toshiyuki Koyama, Motoki Shiga, Masayuki Karasuyama
2020	J	`jnl`	Distance Metric Learning for Graph Structured Data. CoRR Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2020	A*	`conf`	Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization. ICML Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2020	A*	`conf`	Multi-objective Bayesian Optimization using Pareto-frontier Entropy. ICML Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama
2019	J	`jnl`	Active learning for level set estimation under cost-dependent input uncertainty. CoRR Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
2019	J	`jnl`	Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis. Adv. Robotics Takuto Sakuma, Kazuya Nishi, Kaoru Kishimoto, Kazuya Nakagawa, Masayuki Karasuyama, Yuta Umezu, Shinsuke Kajioka, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Matasaburo Fukutomi, Hisashi Shidara, Hiroto Ogawa, Ichiro Takeuchi
2019	A*	`conf`	Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining. KDD Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2019	J	`jnl`	Multi-fidelity Bayesian Optimization with Max-value Entropy Search. CoRR Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2019	J	`jnl`	Multi-objective Bayesian Optimization using Pareto-frontier Entropy. CoRR Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama
2019	J	`jnl`	Safe Triplet Screening for Distance Metric Learning. Neural Comput. Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2019	—	`conf`	Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction. SIGSPATIAL/GIS Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
2019	J	`jnl`	Statistically Discriminative Sub-trajectory Mining. CoRR Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
2018	A	`conf`	Factor Analysis on a Graph. AISTATS Masayuki Karasuyama, Hiroshi Mamitsuka
2018	A*	`conf`	Safe Triplet Screening for Distance Metric Learning. KDD Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2017	J	`jnl`	Adaptive edge weighting for graph-based learning algorithms. Mach. Learn. Masayuki Karasuyama, Hiroshi Mamitsuka
2017	J	`jnl`	Exploring phenotype patterns of breast cancer within somatic mutations: a modicum in the intrinsic code. Briefings Bioinform. Sohiya Yotsukura, Masayuki Karasuyama, Ichigaku Takigawa, Hiroshi Mamitsuka
2017	J	`jnl`	Homotopy continuation approaches for robust SV classification and regression. Mach. Learn. Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi
2016	A*	`conf`	Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. KDD Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi
2016	A*	`conf`	Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling. ICML Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano, Ichiro Takeuchi
2015	J	`jnl`	Homotopy Continuation Approaches for Robust SV Classification and Regression. CoRR Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi
2015	—	`conf`	Regularization Path of Cross-Validation Error Lower Bounds. NIPS Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama, Ichiro Takeuchi
2013	—	`conf`	Manifold-based Similarity Adaptation for Label Propagation. NIPS Masayuki Karasuyama, Hiroshi Mamitsuka
2013	J	`jnl`	Multiple Graph Label Propagation by Sparse Integration. IEEE Trans. Neural Networks Learn. Syst. Masayuki Karasuyama, Hiroshi Mamitsuka
2012	J	`jnl`	Canonical dependency analysis based on squared-loss mutual information. Neural Networks Masayuki Karasuyama, Masashi Sugiyama
2012	J	`jnl`	Multi-parametric solution-path algorithm for instance-weighted support vector machines. Mach. Learn. Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi
2011	—	`conf`	Multi-parametric solution-path algorithm for instance-weighted support vector machines. MLSP Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi
2011	J	`jnl`	Nonlinear Regularization Path for Quadratic Loss Support Vector Machines. IEEE Trans. Neural Networks Masayuki Karasuyama, Ichiro Takeuchi
2011	J	`jnl`	Suboptimal Solution Path Algorithm for Support Vector Machine CoRR Masayuki Karasuyama, Ichiro Takeuchi
2011	A*	`conf`	Suboptimal Solution Path Algorithm for Support Vector Machine. ICML Masayuki Karasuyama, Ichiro Takeuchi
2010	J	`jnl`	Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines CoRR Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi
2010	J	`jnl`	Multiple incremental decremental learning of support vector machines. IEEE Trans. Neural Networks Masayuki Karasuyama, Ichiro Takeuchi
2010	B	`conf`	Nonlinear regularization path for the modified Huber loss Support Vector Machines. IJCNN Masayuki Karasuyama, Ichiro Takeuchi
2009	J	`jnl`	Adaptive Kernel Quantile Regression for Anomaly Detection. J. Adv. Comput. Intell. Intell. Informatics Hiroyuki Moriguchi, Ichiro Takeuchi, Masayuki Karasuyama, Shin-ichi Horikawa, Yoshikatsu Ohta, Tetsuji Kodama, Hiroshi Naruse
2009	J	`jnl`	Efficient Leave- New Gener. Comput. Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
2009	—	`conf`	Multiple Incremental Decremental Learning of Support Vector Machines. NIPS Masayuki Karasuyama, Ichiro Takeuchi
2008	B	`conf`	Optimizing Sparse Kernel Ridge Regression hyperparameters based on leave-one-out cross-validation. IJCNN Masayuki Karasuyama, Ryohei Nakano
2008	—	`conf`	Reducing SVR Support Vectors by Using Backward Deletion. KES (3) Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
2007	B	`conf`	Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR. IJCNN Masayuki Karasuyama, Ryohei Nakano
2006	B	`conf`	Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error. IJCNN Masayuki Karasuyama, Daisuke Kitakoshi, Ryohei Nakano