| 2025 | DIS | A Contextual Bandit Algorithm for Recommending Item Sets with High Sum Diversity. | Masaki Hashimoto, Atsuyoshi Nakamura |
| 2025 | PAKDD | Privacy in Fine-Tuning Large Language Models: Attacks, Defenses, and Future Directions. | Hao Du, Shang Liu, Lele Zheng, Yang Cao, Atsuyoshi Nakamura, Lei Chen |
| 2025 | UAI | Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization. | Dai Hai Nguyen, Hiroshi Mamitsuka, Atsuyoshi Nakamura |
| 2024 | ADC | Facial Memorization of Diffusion Model. | Shiang Ma, Yang Cao, Atsuyoshi Nakamura |
| 2023 | AISTATS | Posterior Tracking Algorithm for Classification Bandits. | Koji Tabata, Junpei Komiyama, Atsuyoshi Nakamura, Tamiki Komatsuzaki |
| 2023 | DBSEC | Differentially Private Streaming Data Release Under Temporal Correlations via Post-processing. | Xuyang Cao, Yang Cao, Primal Pappachan, Atsuyoshi Nakamura, Masatoshi Yoshikawa |
| 2021 | PAKDD | Classification Bandits: Classification Using Expected Rewards as Imperfect Discriminators. | Koji Tabata, Atsuyoshi Nakamura, Tamiki Komatsuzaki |
| 2020 | AAAI | Efficiently Enumerating Substrings with Statistically Significant Frequencies of Locally Optimal Occurrences in Gigantic String. | Atsuyoshi Nakamura, Ichigaku Takigawa, Hiroshi Mamitsuka |
| 2020 | ACML | Data-Dependent Conversion to a Compact Integer-Weighted Representation of a Weighted Voting Classifier. | Mitsuki Maekawa, Atsuyoshi Nakamura, Mineichi Kudo |
| 2019 | SDM | Feature selection as Monte-Carlo Search in Growing Single Rooted Directed Acyclic Graph by Best Leaf Identification. | Aurlien Plissier, Atsuyoshi Nakamura, Koji Tabata |
| 2016 | LATA | Noise Free Multi-armed Bandit Game. | Atsuyoshi Nakamura, David P. Helmbold, Manfred K. Warmuth |
| 2015 | DIS | An Algorithm for Influence Maximization in a Two-Terminal Series Parallel Graph and its Application to a Real Network. | Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo |
| 2014 | ACML | A UCB-Like Strategy of Collaborative Filtering. | Atsuyoshi Nakamura |
| 2012 | DIS | Fast Approximation Algorithm for the 1-Median Problem. | Koji Tabata, Atsuyoshi Nakamura, Mineichi Kudo |
| 2011 | GRC | A practical comparison of edit distance approximation algorithms. | Hiroyuki Hanada, Atsuyoshi Nakamura, Mineichi Kudo |
| 2011 | GRC | Efficient construction and usefulness of hyper-rectangle greedy covers. | Koji Ouchi, Atsuyoshi Nakamura, Mineichi Kudo |
| 2011 | PAKDD | Packing Alignment: Alignment for Sequences of Various Length Events. | Atsuyoshi Nakamura, Mineichi Kudo |
| 2010 | ALT | Algorithms for Adversarial Bandit Problems with Multiple Plays. | Taishi Uchiya, Atsuyoshi Nakamura, Mineichi Kudo |
| 2010 | SPIRE | Algorithms for Finding a Minimum Repetition Representation of a String. | Atsuyoshi Nakamura, Tomoya Saito, Ichigaku Takigawa, Hiroshi Mamitsuka, Mineichi Kudo |
| 2009 | CIARP | Classifier Selection in a Family of Polyhedron Classifiers. | Tetsuji Takahashi, Mineichi Kudo, Atsuyoshi Nakamura |
| 2008 | ICDM | What Sperner Family Concept Class is Easy to Be Enumerated? | Atsuyoshi Nakamura, Mineichi Kudo |
| 2008 | ICPR | Classification by reflective convex hulls. | Mineichi Kudo, Atsuyoshi Nakamura, Ichigaku Takigawa |
| 2008 | ICPR | Classification by bagged consistent itemset rules. | Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura |
| 2008 | SSPR | Bagging, Random Subspace Method and Biding. | Satoshi Shirai, Mineichi Kudo, Atsuyoshi Nakamura |
| 2007 | DIS | Mining Subtrees with Frequent Occurrence of Similar Subtrees. | Hisashi Tosaka, Atsuyoshi Nakamura, Mineichi Kudo |
| 2006 | ALT | Learning-Related Complexity of Linear Ranking Functions. | Atsuyoshi Nakamura |
| 2005 | ICDE | A Comparative Study of Algorithms for Finding Web Communities. | Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura |
| 2005 | KES | Empirical Study on Usefulness of Algorithm SACwRApper for Reputation Extraction from the WWW. | Hiroyuki Hasegawa, Mineichi Kudo, Atsuyoshi Nakamura |
| 2005 | PAKDD | Mining Frequent Trees with Node-Inclusion Constraints. | Atsuyoshi Nakamura, Mineichi Kudo |
| 2005 | WWW | Partitioning of Web graphs by community topology. | Hidehiko Ino, Mineichi Kudo, Atsuyoshi Nakamura |
| 2004 | COLT | Bayesian Networks and Inner Product Spaces. | Atsuyoshi Nakamura, Michael Schmitt, Niels Schmitt, Hans Ulrich Simon |
| 2003 | DIS | Collaborative Filtering Using Projective Restoration Operators. | Atsuyoshi Nakamura, Mineichi Kudo, Akira Tanaka, Kazuhiko Tanabe |
| 2002 | WWW | Improvements in practical aspects of optimally scheduling web advertising. | Atsuyoshi Nakamura |
| 1999 | COLT | Learning Specialist Decision Lists. | Atsuyoshi Nakamura |
| 1999 | ICML | Learning to Optimally Schedule Internet Banner Advertisements. | Naoki Abe, Atsuyoshi Nakamura |
| 1998 | DIS | Empirical Comparison of Competing Query Learning Methods. | Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura |
| 1998 | ICML | Collaborative Filtering Using Weighted Majority Prediction Algorithms. | Atsuyoshi Nakamura, Naoki Abe |
| 1997 | ALT | An Efficient Exact Learning Algorithm for Ordered Binary Decision Diagrams. | Atsuyoshi Nakamura |
| 1996 | ALT | Query Learning of Bounded-Width OBDDs. | Atsuyoshi Nakamura |
| 1995 | ALT | Learning Sparse Linear Combinations of Basis Functions over a Finite Domain. | Atsuyoshi Nakamura, Shinji Miura |
| 1995 | COLT | On-line Learning of Binary and | Atsuyoshi Nakamura, Naoki Abe |
| 1995 | ICML | On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. | Naoki Abe, Hang Li, Atsuyoshi Nakamura |
| 1994 | ALT | Efficient Distribution-free Population Learning of Simple Concepts. | Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi |
| 1993 | ALT | Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. | Atsuyoshi Nakamura, Naoki Abe |