Publications

OTHERS (INTERNATIONAL)
Off-Policy Learning with Limited Supply: Koichi Tanaka (Keio University), Ren Kishimoto (Institute of Science Tokyo), Bushun Kawagishi (Meiji University), Yusuke Narita (Yale University), Yasuo Yamamoto, Nobuyuki Shimizu, Yuta Saito (Cornell University); arXiv.org (arXiv); March 19, 2026

Machine Learning & Data Science

CONFERENCE (INTERNATIONAL)
Shape-N-Motion: Fine-Grained Hand Object Manipulation Recognition with Ultrasonic and IMU: Kaito Fujishige (Institute of Science Tokyo), Kota Tsubouchi, Yuuki Nishiyama (The University of Tokyo), Masamichi Shimosaka (Institute of Science Tokyo); The 24th International Conference on Pervasive Computing and Communications (PerCom 2026); March 17, 2026

CONFERENCE (DOMESTIC)
Optimal Variance and Covariance Estimation under Differential Privacy in the Add-Remove Model: Shokichi Takakura, Seng Pei Liew, Satoshi Hasegawa; 第18回データ工学と情報マネジメントに関するフォーラム（第24回日本データベース学会年次大会） (DEIM 2026); March 04, 2026

CONFERENCE (DOMESTIC)
金融ソーシャルメディア投稿における読み手が受け取る投資スタンスの分析: 細川蓮 (奈良先端科学技術大学院大学), 上田健太郎 (奈良先端科学技術大学院大学), 諏訪博彦 (奈良先端科学技術大学院大学), 小川祐樹 (東京都市大学), 梅原英一 (新潟国際情報大学), 坪内孝太, 安本慶一 (奈良先端科学技術大学院大学); 第5回計算社会科学会大会 (CSSJ2026); March 04, 2026

CONFERENCE (DOMESTIC)
金融掲示板の投稿に対する個人投資家の投資スタンス知覚とLLMによる再現性評価: 上田健太郎 (奈良先端科学技術大学院大学), 細川蓮 (奈良先端科学技術大学院大学), 諏訪博彦 (奈良先端科学技術大学院大学), 坪内孝太, 小川祐樹 (東京都市大学), 梅原英一 (新潟国際情報大学), 安本慶一 (奈良先端科学技術大学院大学); 第5回計算社会科学会大会 (CSSJ2026); March 04, 2026

CONFERENCE (DOMESTIC)
金融掲示板投稿を用いた市場予測モデルにおける重要投稿に基づいた説明生成手法の提案: 小手川康太 (奈良先端科学技術大学院大学), 上田健太郎 (奈良先端科学技術大学院大学), 細川蓮 (奈良先端科学技術大学院大学), 山崎公士 (立命館大学), 諏訪博彦 (奈良先端科学技術大学院大学), 小川祐樹 (東京都市大学), 梅原英一 (新潟国際情報大学), 坪内孝太, 安本慶一 (奈良先端科学技術大学院大学); 第5回計算社会科学会大会 (CSSJ2026); March 04, 2026

CONFERENCE (INTERNATIONAL)
Did the Writer Actually Visit the Location? Analysis of Location Reviews from Visit Experience: Aitaro Yamamoto (Nara Institute of Science and Technology), Hiroki Ouchi (Nara Institute of Science and Technology), Kota Tsubouchi, Tatsuo Yamashita, Ryo Tsujimoto (Nara Institute of Science and Technology), Yuki Matsuda (Okayama University/Nara Institute of Science and Technology), Hirohiko Suwa (Nara Institute of Science and Technology); International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics, 2025 (IJCNLP-AACL 2025); February 19, 2026

OTHERS (INTERNATIONAL)
Inference-Aware Meta-Alignment of LLMs via Non-Linear GRPO: Shokichi Takakura, Akifumi Wachi, Rei Higuchi (The University of Tokyo/RIKEN AIP), Kohei Miyaguchi, Taiji Suzuki (The University of Tokyo/RIKEN AIP); arXiv.org (arXiv); February 03, 2026

OTHERS (INTERNATIONAL)
A Relative-Budget Theory for Reinforcement Learning with Verifiable Rewards in Large Language Model Reasoning: Akifumi Wachi, Hirota Kinoshita (Toyota Technological Institute at Chicago), Shokichi Takakura, Rei Higuchi (University of Tokyo/RIKEN AIP), Taiji Suzuki (University of Tokyo/RIKEN AIP); arXiv.org (arXiv); February 02, 2026

OTHERS (INTERNATIONAL)
Validating Behavioral Proxies for Disease Risk Monitoring via Large-Scale E-commerce Data: Naomi Sasaya, Shigefumi Kishida (Anicom Insurance, Inc.), Ryo Kikuchi (Anicom Insurance, Inc.), Akira Tajima; arXiv.org (arXiv); January 21, 2026

CONFERENCE (INTERNATIONAL)
Omni-CityMood: Vision-based Urban Atmosphere Perception from Every Angle: Yuki Kubota (Institute of Science Tokyo), Kota Tsubouchi, Soto Anno (Institute of Science Tokyo), Kaito Ide (Institute of Science Tokyo), Masamichi Shimosaka (Institute of Science Tokyo); The 33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2025); December 22, 2025

CONFERENCE (INTERNATIONAL)
A Provable Approach for End-to-End Safe Reinforcement Learning: Akifumi Wachi, Kohei Miyaguchi, Takumi Tanabe, Rei Sato, Youhei Akimoto (University of Tsukuba, RIKEN AIP); The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025); December 05, 2025

CONFERENCE (INTERNATIONAL)
Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization: Shogo Iwazaki; The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025); December 05, 2025

Machine Learning & Data Science

CONFERENCE (INTERNATIONAL)
Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits: Shogo Iwazaki; The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025); December 04, 2025

Machine Learning & Data Science

CONFERENCE (INTERNATIONAL)
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies: Runze Yan (Emory University), Xun Shen (Tokyo University of Agriculture and Technology), Akifumi Wachi, Sebastien Gros (Norwegian University of Science and Technology), Anni Zhao (Emory University), Xiao Hu (Emory University); The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025); December 03, 2025

CONFERENCE (DOMESTIC)
ウェアラブルUWBの時系列CIRを用いた呼吸推定: 芝塚育大 (東京科学大学情報理工学院情報工学系), 藤重凱人 (東京科学大学情報理工学院情報工学系), 坪内孝太, 西山勇毅 (東京科学大学情報理工学院情報工学系), 下坂正倫 (東京科学大学情報理工学院情報工学系); 情報処理学会ユビキタスコンピューティングシステム研究会 (IPSJ SIGUBI); November 19, 2025

CONFERENCE (DOMESTIC)
ISS特徴点抽出を用いた3次元点群ベース室内空間認証手法の提案と評価: 山田裕晃 (京都大学), 小谷大祐 (京都大学), 坪内孝太, 五味秀仁, 岡部寿男 (京都大学); Computer Security Symposium 2025 (CSS 2025); October 27, 2025

CONFERENCE (INTERNATIONAL)
Target and Non-target Category Classification from GPS and Check-in Data: Ryo Shirai (The University of Osaka), Ryo Imai, Daichi Amagata (The University of Osaka); 19th International Symposium on Spatial and Temporal Data (SSTD 2025); October 14, 2025

Machine Learning & Data Science

WORKSHOP (DOMESTIC)
iPhone LiDARによる野生動物痕跡認識の試み：参加型センシング基盤の構築と初期評価: 古城司 (奈良先端科学技術大学院大学), 小坂修平 (奈良先端科学技術大学院大学), 菊池尊勝 (奈良先端科学技術大学院大学), 佐々木航 (奈良先端科学技術大学院大学), 松田裕貴 (岡山大学), 諏訪博彦 (奈良先端科学技術大学院大学), 坪内孝太, 安本慶一 (奈良先端科学技術大学院大学); 情報処理学会ユビキタスコンピューティングシステム研究会 (IPSJ SIGUBI); September 29, 2025

JOURNAL (INTERNATIONAL)
Early crowd forecasting away from stations by geographically complemented regression using transit search and mobility logs: Soto Anno (Institute of Science Tokyo), Kota Tsubouchi, Masamichi Shimosaka (Institute of Science Tokyo); Journal of Big Data; September 01, 2025

Machine Learning & Data Science