ML Anthology

Komiyama, Junpei

19 publications

COLT 2025 Data-Dependent Bounds with $t$-Optimal Best-of-Both-Worlds Guarantees in Multi-Armed Bandits Using Stability-Penalty Matching Quan Nguyen, Shinji Ito, Junpei Komiyama, Mehta Nishant
NeurIPS 2025 Optimal Estimation of the Best Mean in Multi-Armed Bandits Takayuki Osogami, Junya Honda, Junpei Komiyama
JMLR 2024 Finite-Time Analysis of Globally Nonstationary Multi-Armed Bandits Junpei Komiyama, Edouard Fouché, Junya Honda
NeurIPS 2024 Fixed Confidence Best Arm Identification in the Bayesian Setting Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki
AISTATS 2024 Learning Fair Division from Bandit Feedback Hakuei Yamada, Junpei Komiyama, Kenshi Abe, Atsushi Iwasaki
NeurIPS 2023 High-Dimensional Contextual Bandit Problem Without Sparsity Junpei Komiyama, Masaaki Imaizumi
AISTATS 2023 Posterior Tracking Algorithm for Classification Bandits Koji Tabata, Junpei Komiyama, Atsuyoshi Nakamura, Tamiki Komatsuzaki
AISTATS 2023 Thresholded Linear Bandits Nishant A. Mehta, Junpei Komiyama, Vamsi K. Potluru, Andrea Nguyen, Mica Grant-Hagen
IJCAI 2022 Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki
TMLR 2022 Bridging Offline and Online Experimentation: Constraint Active Search for Deployed Performance Optimization Junpei Komiyama, Gustavo Malkomes, Bolong Cheng, Michael McCourt
NeurIPS 2022 Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification Junpei Komiyama, Taira Tsuchiya, Junya Honda
ICML 2018 Nonconvex Optimization for Regression with Fairness Constraints Junpei Komiyama, Akiko Takeda, Junya Honda, Hajime Shimao
NeurIPS 2017 Position-Based Multiple-Play Bandit Problem with Unknown Position Bias Junpei Komiyama, Junya Honda, Akiko Takeda
ICML 2016 Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
ICML 2015 Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-Armed Bandit Problem with Multiple Plays Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
COLT 2015 Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa
NeurIPS 2015 Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring Junpei Komiyama, Junya Honda, Hiroshi Nakagawa
ECML-PKDD 2014 Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle Junpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa
ACML 2013 Multi-Armed Bandit Problem with Lock-up Periods Junpei Komiyama, Issei Sato, Hiroshi Nakagawa