| 2026 | COLT | Adversarial Learning in Games with Bandit Feedback: Logarithmic Pure-Strategy Maximin Regret. | Shinji Ito, Haipeng Luo, Arnab Maiti, Taira Tsuchiya, Yue Wu |
| 2025 | AISTATS | Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel-Young Loss Perspective and Gap-Dependent Regret Analysis. | Shinsaku Sakaue, Han Bao, Taira Tsuchiya |
| 2025 | COLT | Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback. | Shinji Ito, Haipeng Luo, Taira Tsuchiya, Yue Wu |
| 2025 | COLT | Corrupted Learning Dynamics in Games. | Taira Tsuchiya, Shinji Ito, Haipeng Luo |
| 2024 | AISTATS | Best-of-Both-Worlds Algorithms for Linear Contextual Bandits. | Yuko Kuroki, Alberto Rumi, Taira Tsuchiya, Fabio Vitale, Nicol Cesa-Bianchi |
| 2024 | COLT | Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds. | Shinji Ito, Taira Tsuchiya, Junya Honda |
| 2024 | COLT | Online Structured Prediction with Fenchel-Young Losses and Improved Surrogate Regret for Online Multiclass Classification with Logistic Loss. | Shinsaku Sakaue, Han Bao, Taira Tsuchiya, Taihei Oki |
| 2024 | ICML | Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring. | Taira Tsuchiya, Shinji Ito, Junya Honda |
| 2023 | AISTATS | Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits. | Taira Tsuchiya, Shinji Ito, Junya Honda |
| 2023 | ALT | Follow-the-Perturbed-Leader Achieves Best-of-Both-Worlds for Bandit Problems. | Junya Honda, Shinji Ito, Taira Tsuchiya |
| 2023 | ALT | Best-of-Both-Worlds Algorithms for Partial Monitoring. | Taira Tsuchiya, Shinji Ito, Junya Honda |
| 2022 | COLT | Adversarially Robust Multi-Armed Bandit Algorithm with Variance-Dependent Regret Bounds. | Shinji Ito, Taira Tsuchiya, Junya Honda |
| 2018 | ICASSP | Speaker Invariant Feature Extraction for Zero-Resource Languages with Adversarial Learning. | Taira Tsuchiya, Naohiro Tawara, Tetsuji Ogawa, Tetsunori Kobayashi |