Atsuyoshi Nakamura

111 papers A* 11A 3B 19C 5Misc 4Journal 46Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization. CoRR Dai Hai Nguyen, Duc Dung Nguyen, Atsuyoshi Nakamura, Hiroshi Mamitsuka
2026	J	`jnl`	An Efficient Algorithm for Thresholding Monte Carlo Tree Search. CoRR Shoma Nameki, Atsuyoshi Nakamura, Junpei Komiyama, Koji Tabata
2025	B	`conf`	A Contextual Bandit Algorithm for Recommending Item Sets with High Sum Diversity. DS Masaki Hashimoto, Atsuyoshi Nakamura
2025	A	`conf`	Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization. UAI Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura
2025	J	`jnl`	Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization. CoRR Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura
2025	—	`conf`	Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions. PAKDD (4) Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen
2025	J	`jnl`	Simplification of forest classifiers and regressors by sharing branching conditions. Mach. Learn. Naoki Marui, Atsuyoshi Nakamura, Kento Sakurada
2024	B	`conf`	A Monte Carlo Tree Search for Budget-Constrained Combinatorial Optimal Facility Investment Problem with a Blackbox Objective Function. IEEE Big Data Shoma Nameki, Atsuyoshi Nakamura, Yusuke Yasugahira, Hiroshi Uchigaito, Michiaki Hiramatsu, Takashi Takemoto
2024	—	`conf`	Ensuring Fairness in Stochastic Multi-armed Bandit Problems for Effective Group Recommendations. AI (1) Rei Ozaki, Atsuyoshi Nakamura
2024	Misc	`conf`	Facial Memorization of Diffusion Model. ADC Shiang Ma, Yang Cao, Atsuyoshi Nakamura
2024	J	`jnl`	Gaussian process classification bandits. Pattern Recognit. Tatsuya Hayashi, Naoki Ito, Koji Tabata, Atsuyoshi Nakamura, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
2024	J	`jnl`	Long-term Detection System for Six Kinds of Abnormal Behavior of the Elderly Living Alone. CoRR Kai Tanaka, Mineichi Kudo, Keigo Kimura, Atsuyoshi Nakamura
2024	—	`conf`	Posterior Tracking Algorithm for Multi-objective Classification Bandits. AI (2) Riku Suzuki, Atsuyoshi Nakamura
2024	J	`jnl`	Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions. CoRR Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen
2024	J	`jnl`	Query learning algorithm for ordered multi-terminal binary decision diagrams. Discret. Appl. Math. Atsuyoshi Nakamura
2024	B	`conf`	Risk Diversification Strategy with Moving Average Reversion for Automatic Portfolio Optimization. IEEE Big Data Yuki Hayashi, Atsuyoshi Nakamura
2023	B	`conf`	Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing. DBSec Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa
2023	J	`jnl`	Differentially Private Streaming Data Release under Temporal Correlations via Post-processing. CoRR Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa
2023	A	`conf`	Posterior Tracking Algorithm for Classification Bandits. AISTATS Koji Tabata, Junpei Komiyama, Atsuyoshi Nakamura, Tamiki Komatsuzaki
2023	J	`jnl`	Pure exploration in multi-armed bandits with low rank structure using oblivious sampler. CoRR Yaxiong Liu, Atsuyoshi Nakamura, Kohei Hatano, Eiji Takimoto
2023	J	`jnl`	Query Learning Algorithm for Ordered Multi-Terminal Binary Decision Diagrams. CoRR Atsuyoshi Nakamura
2022	Misc	`conf`	An Explainable Recommendation Based on Acyclic Paths in an Edge-Colored Graph. AI Kosuke Chinone, Atsuyoshi Nakamura
2022	B	`conf`	Boosting Utility of Differentially Private Streaming Data Release under Temporal Correlations. IEEE Big Data Xuyang Cao, Yang Cao, Masatoshi Yoshikawa, Atsuyoshi Nakamura
2022	J	`jnl`	Efficient alignment-based average delay time estimation in fluctuating delayed propagation. Array Atsuyoshi Nakamura, Tatsuya Hayashi
2022	J	`jnl`	Gaussian Process Classification Bandits. CoRR Tatsuya Hayashi, Naoki Ito, Koji Tabata, Atsuyoshi Nakamura, Katsumasa Fujita, Yoshinori Harada, Tamiki Komatsuzaki
2022	J	`jnl`	Simplification of Forest Classifiers and Regressors. CoRR Atsuyoshi Nakamura, Kento Sakurada
2022	J	`jnl`	Slimmable Pruned Neural Networks. CoRR Hideaki Kuratsu, Atsuyoshi Nakamura
2021	—	`conf`	Classification Bandits: Classification Using Expected Rewards as Imperfect Discriminators. PAKDD (Workshops) Koji Tabata, Atsuyoshi Nakamura, Tamiki Komatsuzaki
2021	J	`jnl`	Foreword. IEICE Trans. Inf. Syst. Atsuyoshi Nakamura
2021	J	`jnl`	Minor-embedding heuristics for large-scale annealing processors with sparse hardware graphs of up to 102, 400 nodes. Soft Comput. Yuya Sugie, Yuki Yoshida, Normann Mertig, Takashi Takemoto, Hiroshi Teramoto, Atsuyoshi Nakamura, Ichigaku Takigawa, Shin-ichi Minato, Masanao Yamaoka, Tamiki Komatsuzaki
2020	J	`jnl`	A bad arm existence checking problem: How to utilize asymmetric problem structure? Mach. Learn. Koji Tabata, Atsuyoshi Nakamura, Junya Honda, Tamiki Komatsuzaki
2020	C	`conf`	Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. ACML Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo
2020	A*	`conf`	Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String. AAAI Atsuyoshi Nakamura, Ichigaku Takigawa, Hiroshi Mamitsuka
2020	—	`conf`	Hardware/Algorithm Co-optimization for Fully-Parallelized Compact Decision Tree Ensembles on FPGAs. ARC Taiga Ikeda, Kento Sakurada, Atsuyoshi Nakamura, Masato Motomura, Shinya Takamaeda-Yamazaki
2020	J	`jnl`	Minor-embedding heuristics for large-scale annealing processors with sparse hardware graphs of up to 102, 400 nodes. CoRR Yuya Sugie, Yuki Yoshida, Normann Mertig, Takashi Takemoto, Hiroshi Teramoto, Atsuyoshi Nakamura, Ichigaku Takigawa, Shin-ichi Minato, Masanao Yamaoka, Tamiki Komatsuzaki
2020	J	`jnl`	Propagation Graph Estimation by Pairwise Alignment of Time Series Observation Sequences. CoRR Tatsuya Hayashi, Atsuyoshi Nakamura
2019	J	`jnl`	A Bad Arm Existence Checking Problem. CoRR Koji Tabata, Atsuyoshi Nakamura, Junya Honda, Tamiki Komatsuzaki
2019	—	`conf`	An Algorithm for Reducing the Number of Distinct Branching Conditions in a Decision Forest. ECML/PKDD (1) Atsuyoshi Nakamura, Kento Sakurada
2019	A	`conf`	Feature selection as Monte-Carlo Search in Growing Single Rooted Directed Acyclic Graph by Best Leaf Identification. SDM Aurélien Pélissier, Atsuyoshi Nakamura, Koji Tabata
2019	J	`jnl`	Good arm identification via bandit feedback. Mach. Learn. Hideaki Kano, Junya Honda, Kentaro Sakamaki, Kentaro Matsuura, Atsuyoshi Nakamura, Masashi Sugiyama
2019	J	`jnl`	Mistake bounds on the noise-free multi-armed bandit game. Inf. Comput. Atsuyoshi Nakamura, David P. Helmbold, Manfred K. Warmuth
2018	—	`conf`	FPGA-Based QBoost with Large-Scale Annealing Processor and Accelerated Hyperparameter Search. ReConFig Takashi Takemoto, Normann Mertig, Masato Hayashi, Saki Susa-Tanaka, Hiroshi Teramoto, Atsuyoshi Nakamura, Ichigaku Takigawa, Shin-ichi Minato, Tamiki Komatsuzaki, Masanao Yamaoka
2018	J	`jnl`	Feature selection as Monte-Carlo Search in Growing Single Rooted Directed Acyclic Graph by Best Leaf Identification. CoRR Aurélien Pélissier, Atsuyoshi Nakamura, Koji Tabata
2018	—	`conf`	Graph Minors from Simulated Annealing for Annealing Machines with Sparse Connectivity. TPNC Yuya Sugie, Yuki Yoshida, Normann Mertig, Takashi Takemoto, Hiroshi Teramoto, Atsuyoshi Nakamura, Ichigaku Takigawa, Shin-ichi Minato, Masanao Yamaoka, Tamiki Komatsuzaki
2018	J	`jnl`	UCB-SC: A Fast Variant of KL-UCB-SC for Budgeted Multi-Armed Bandit Problem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo
2017	J	`jnl`	An Efficient Approximate Algorithm for the 1-Median Problem on a Graph. IEICE Trans. Inf. Syst. Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
2017	J	`jnl`	KL-UCB-Based Policy for Budgeted Multi-Armed Bandits with Stochastic Action Costs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Ryo Watanabe, Junpei Komiyama, Atsuyoshi Nakamura, Mineichi Kudo
2017	J	`jnl`	On Practical Accuracy of Edit Distance Approximation Algorithms. CoRR Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura
2016	J	`jnl`	Mining approximate patterns with frequent locally optimal occurrences. Discret. Appl. Math. Atsuyoshi Nakamura, Ichigaku Takigawa, Hisashi Tosaka, Mineichi Kudo, Hiroshi Mamitsuka
2016	C	`conf`	Noise Free Multi-armed Bandit Game. LATA Atsuyoshi Nakamura, David P. Helmbold, Manfred K. Warmuth
2016	—	`conf`	Sitting posture diagnosis using a pressure sensor mat. ISBA Shunsuke Suzuki, Mineichi Kudo, Atsuyoshi Nakamura
2015	B	`conf`	An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. Discovery Science Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
2015	J	`jnl`	An improved upper bound on the expected regret of UCB-type policies for a matching-selection bandit problem. Oper. Res. Lett. Ryo Watanabe, Atsuyoshi Nakamura, Mineichi Kudo
2015	—	`conf`	Diversity Measures and Margin Criteria in Multi-class Majority Vote Ensemble. MCS Ayako Mikami, Mineichi Kudo, Atsuyoshi Nakamura
2014	C	`conf`	A UCB-Like Strategy of Collaborative Filtering. ACML Atsuyoshi Nakamura
2014	J	`jnl`	An efficient construction and application usefulness of rectangle greedy covers. Pattern Recognit. Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo
2014	J	`jnl`	Average-case linear-time similar substring searching by the q-gram distance. Theor. Comput. Sci. Hiroyuki Hanada, Mineichi Kudo, Atsuyoshi Nakamura
2013	J	`jnl`	Fast algorithms for finding a minimum repetition representation of strings and trees. Discret. Appl. Math. Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Mineichi Kudo, Hiroshi Mamitsuka
2012	B	`conf`	Fast Approximation Algorithm for the 1-Median Problem. Discovery Science Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo
2012	—	`conf`	Frequent Approximate Substring Pattern Mining Using Locally Optimal Occurrence Counting. IIAI-AAI Atsuyoshi Nakamura, Hisashi Tosaka, Mineichi Kudo
2011	Misc	`conf`	A practical comparison of edit distance approximation algorithms. GrC Hiroyuki Hanada, Atsuyoshi Nakamura, Mineichi Kudo
2011	J	`jnl`	Construction of convex hull classifiers in high dimensions. Pattern Recognit. Lett. Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura
2011	Misc	`conf`	Efficient construction and usefulness of hyper-rectangle greedy covers. GrC Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo
2011	J	`jnl`	On the possible patterns of inputs for block sorting in the Burrows-Wheeler transformation. Inf. Process. Lett. Takashi Saso, Kojiro Kobayashi, Atsuyoshi Nakamura
2011	—	`conf`	Packing Alignment: Alignment for Sequences of Various Length Events. PAKDD (2) Atsuyoshi Nakamura, Mineichi Kudo
2010	B	`conf`	Algorithms for Adversarial Bandit Problems with Multiple Plays. ALT Taishi Uchiya, Atsuyoshi Nakamura, Mineichi Kudo
2010	C	`conf`	Algorithms for Finding a Minimum Repetition Representation of a String. SPIRE Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Hiroshi Mamitsuka, Mineichi Kudo
2009	C	`conf`	Classifier Selection in a Family of Polyhedron Classifiers. CIARP Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura
2009	—	`conf`	Comparison of Bagging and Boosting Algorithms on Sample and Feature Weighting. MCS Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura
2009	J	`jnl`	Convex sets as prototypes for classifying patterns. Eng. Appl. Artif. Intell. Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura
2008	—	`conf`	Bagging, Random Subspace Method and Biding. SSPR/SPR Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura
2008	J	`jnl`	Classification Based on Consistent Itemset Rules. Trans. Mach. Learn. Data Min. Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
2008	B	`conf`	Classification by bagged consistent itemset rules. ICPR Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
2008	B	`conf`	Classification by reflective convex hulls. ICPR Mineichi Kudo, Atsuyoshi Nakamura, Ichigaku Takigawa
2008	A*	`conf`	What Sperner Family Concept Class is Easy to Be Enumerated? ICDM Atsuyoshi Nakamura, Mineichi Kudo
2007	—	`conf`	CCIC: Consistent Common Itemsets Classifier. MLDM Yohji Shidara, Atsuyoshi Nakamura, Mineichi Kudo
2007	B	`conf`	Mining Subtrees with Frequent Occurrence of Similar Subtrees. Discovery Science Hisashi Tosaka, Atsuyoshi Nakamura, Mineichi Kudo
2006	B	`conf`	Learning-Related Complexity of Linear Ranking Functions. ALT Atsuyoshi Nakamura
2005	—	`conf`	A Comparative Study of Algorithms for Finding Web Communities. ICDE Workshops Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura
2005	J	`jnl`	An efficient query learning algorithm for ordered binary decision diagrams. Inf. Comput. Atsuyoshi Nakamura
2005	—	`conf`	Empirical Study on Usefulness of Algorithm SACwRApper for Reputation Extraction from the WWW. KES (4) Hiroyuki Hasegawa, Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`ch.`	Extraction of Generalized Rules with Automated Attribute Abstraction. Foundations of Data Mining and knowledge Discovery Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
2005	J	`jnl`	Improvements to the Linear Programming Based Scheduling of Web Advertisements. Electron. Commer. Res. Atsuyoshi Nakamura, Naoki Abe
2005	J	`jnl`	Inner Product Spaces for Bayesian Networks. J. Mach. Learn. Res. Atsuyoshi Nakamura, Michael Schmitt, Niels Schmitt, Hans Ulrich Simon
2005	B	`conf`	Mining Frequent Trees with Node-Inclusion Constraints. PAKDD Atsuyoshi Nakamura, Mineichi Kudo
2005	A*	`conf`	Partitioning of Web graphs by community topology. WWW Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`conf`	Specific-Purpose Web Searches on the Basis of Structure and Contents. Federation over the Web Mineichi Kudo, Atsuyoshi Nakamura
2005	—	`conf`	The Convex Subclass Method: Combinatorial Classifier Based on a Family of Convex Sets. MLDM Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura
2004	A*	`conf`	Bayesian Networks and Inner Product Spaces. COLT Atsuyoshi Nakamura, Michael Schmitt, Niels Schmitt, Hans Ulrich Simon
2004	—	`conf`	On the Minimum l ICA Ichigaku Takigawa, Mineichi Kudo, Atsuyoshi Nakamura, Jun Toyama
2003	B	`conf`	Collaborative Filtering Using Projective Restoration Operators. Discovery Science Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka, Kazuhiko Tanabe
2003	—	`conf`	Collaborative Filtering Using Restoration Operators. PKDD Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka
2002	A*	`conf`	Improvements in practical aspects of optimally scheduling web advertising. WWW Atsuyoshi Nakamura
2002	J	`jnl`	Online Learning of Binary and n-ary Relations over Clustered Domains. J. Comput. Syst. Sci. Atsuyoshi Nakamura, Naoki Abe
2000	A*	`conf`	Automatic recording agent for digital video server. ACM Multimedia Atsuyoshi Nakamura, Naoki Abe, Hiroshi Matoba, Katsuhiro Ochiai
2000	J	`jnl`	Query learning of bounded-width OBDDs. Theor. Comput. Sci. Atsuyoshi Nakamura
1999	A*	`conf`	Learning Specialist Decision Lists. COLT Atsuyoshi Nakamura
1999	A*	`conf`	Learning to Optimally Schedule Internet Banner Advertisements. ICML Naoki Abe, Atsuyoshi Nakamura
1999	J	`jnl`	Unintrusive Customization Techniques for Web Advertising. Comput. Networks Marc Langheinrich, Atsuyoshi Nakamura, Naoki Abe, Tomonari Kamba, Yoshiyuki Koseki
1998	A*	`conf`	Collaborative Filtering Using Weighted Majority Prediction Algorithms. ICML Atsuyoshi Nakamura, Naoki Abe
1998	J	`jnl`	Efficient Distribution-Free Population Learning of Simple Concepts. Ann. Math. Artif. Intell. Atsuyoshi Nakamura, Jun'ichi Takeuchi, Naoki Abe
1998	B	`conf`	Empirical Comparison of Competing Query Learning Methods. Discovery Science Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura
1997	B	`conf`	An Efficient Exact Learning Algorithm for Ordered Binary Decision Diagrams. ALT Atsuyoshi Nakamura
1996	B	`conf`	Query Learning of Bounded-Width OBDDs. ALT Atsuyoshi Nakamura
1995	J	`jnl`	Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. Theor. Comput. Sci. Atsuyoshi Nakamura, Naoki Abe
1995	B	`conf`	Learning Sparse Linear Combinations of Basis Functions over a Finite Domain. ALT Atsuyoshi Nakamura, Shinji Miura
1995	J	`jnl`	On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms CoRR Naoki Abe, Hang Li, Atsuyoshi Nakamura
1995	A*	`conf`	On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. ICML Naoki Abe, Hang Li, Atsuyoshi Nakamura
1995	A*	`conf`	On-line Learning of Binary and COLT Atsuyoshi Nakamura, Naoki Abe
1994	—	`conf`	Efficient Distribution-free Population Learning of Simple Concepts. AII/ALT Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi
1993	B	`conf`	Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. ALT Atsuyoshi Nakamura, Naoki Abe