Iwazaki, Shogo

11 publications

NeurIPS 2025 Gaussian Process Upper Confidence Bound Achieves Nearly-Optimal Regret in Noise-Free Gaussian Process Bandits Shogo Iwazaki

ICML 2025 Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS Norm, and Non-Stationary Variance Shogo Iwazaki, Shion Takeno

NeurIPS 2025 Improved Regret Bounds for Gaussian Process Upper Confidence Bound in Bayesian Optimization Shogo Iwazaki

AISTATS 2025 Near-Optimal Algorithm for Non-Stationary Kernelized Bandits Shogo Iwazaki, Shion Takeno

AISTATS 2025 No-Regret Bayesian Optimization with Stochastic Observation Failures Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Kota Matsui, Yu Inatsu

NeurIPS 2024 No-Regret Bandit Exploration Based on Soft Tree Ensemble Model Shogo Iwazaki, Shinya Suzumura

AISTATS 2024 Risk Seeking Bayesian Optimization Under Uncertainty for Obtaining Extremum Shogo Iwazaki, Tomohiko Tanabe, Mitsuru Irie, Shion Takeno, Yu Inatsu

NeurIPS 2023 Failure-Aware Gaussian Process Optimization with Regret Bounds Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie

NeurIPS 2022 Quantifying Statistical Significance of Neural Network-Based Image Segmentation by Selective Inference Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi

AISTATS 2021 Mean-Variance Analysis in Bayesian Optimization Under Uncertainty Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

ICML 2021 Active Learning for Distributionally Robust Level-Set Estimation Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi