Or Raveh, Junya Honda, Masashi Sugiyama, "Multi-Player Approaches for Dueling Bandits", The 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025), Phuket, Thailand, May 3-5, 2025, accepted.

Kazuma Shimizu, Junya Honda, Shinji Ito, Shinji Nakadai, "Learning with Posterior Sampling for Revenue Management under Time-varying Demand", The 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024.

Charles Riou, Junya Honda, Masashi Sugiyama, "The Survival Bandit Problem", Transactions on Machine Learning Research, 2024.

Taira Tsuchiya, Shinji Ito, Junya Honda, "Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring", The 41st International Conference on Machine Learning (ICML 2024), 2024.

Jongyeong Lee, Junya Honda, Shinji Ito, Min-hwan Oh, "Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds", The 37th Annual Conference on Learning Theory (COLT 2024), 2024.

Shinji Ito, Taira Tsuchiya, Junya Honda, "Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Ratio Analysis and Best-of-Both-Worlds", The 37th Annual Conference on Learning Theory (COLT 2024), 2024.

Junpei Komiyama, Edouard Fouché, Junya Honda, "Finite-time Analysis of Globally Nonstationary Multi-Armed Bandits", Journal of Machine Learning Research, 2024.