ST
Shion Takeno
cs.LGstat.MLastro-ph.IMcond-mat.mtrl-scimath.OCphysics.comp-ph
On Valency
published · living versionsW_2drkrc2n·v1 · currentpublished
Near-Optimal Regret Bounds for UCB-Style Gaussian Process Bandits via Data Thinning
with Shogo Iwazaki, Ichiro Takeuchi
1 version
Preprints & journals
27 papers in the corpus · 2019–2026Near-Optimal Regret Bounds for UCB-Style Gaussian Process Bandits via Data Thinning2610.28136v1 · Shion Takeno, Shogo Iwazaki, Ichiro Takeuchi2026 · 0 citationsarXivon Valency
Improved Regret Analysis for Parallel Gaussian Process Bandit Optimization2608.16492v2 · Shion Takeno, Shogo Iwazaki2026 · 0 citationsarXiv
Millimeter-wave adaptive optics: Demonstrating closed-loop correction for lowest Zernike modes2608.16548v1 · Yoichi Tamura, Akio Taniguchi, Kotaro Iwakami et al.2026 · 0 citationsarXiv
Towards Regret Guarantees for One-Step Lookahead Bayesian Optimization2606.00956v2 · Shion Takeno2026 · 0 citationsarXiv
Safe Distributionally Robust Feature Selection under Covariate Shift2603.16062v1 · Hiroyuki Hanada, Satoshi Akahane, Noriaki Hashimoto et al.2026 · 0 citationsarXiv
On Regret Bounds of Thompson Sampling for Bayesian Optimization2603.09276v2 · Shion Takeno, Shogo Iwazaki2026 · 0 citationsarXiv
Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds2603.01470v3 · Shuhei Sugiura, Ichiro Takeuchi, Shion Takeno2026 · 0 citationsarXiv
Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization2507.09828v3 · Shion Takeno, Yu Inatsu, Masayuki Karasuyama et al.2025 · 0 citationsarXiv
Dose-finding design based on level set estimation in phase I cancer clinical trials2504.09157v1 · Keiichiro Seno, Kota Matsui, Shogo Iwazaki et al.2025 · 0 citationsarXiv
Distributionally Robust Active Learning for Gaussian Process Regression2502.16870v3 · Shion Takeno, Yoshito Okura, Yu Inatsu et al.2025 · 0 citationsarXiv
Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance2502.06363v1 · Shogo Iwazaki, Shion Takeno2025 · 0 citationsarXiv
Near-Optimal Algorithm for Non-Stationary Kernelized Bandits2410.16052v1 · Shogo Iwazaki, Shion Takeno2024 · 0 citationsarXiv
Regret Analysis for Randomized Gaussian Process Upper Confidence Bound2409.00979v3 · Shion Takeno, Yu Inatsu, Masayuki Karasuyama2024 · 0 citationsJournal of Artificial Intelligence Research 84, Article 18, (November 2025)
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms2408.03144v2 · Yu Inatsu, Shion Takeno, Kentaro Kutsukake et al.2024 · 0 citationsarXiv
Distributionally Robust Safe Sample Elimination under Covariate Shift2406.05964v2 · Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane et al.2024 · 0 citationsarXiv
Multi-Objective Bayesian Optimization with Active Preference Learning2311.13460v1 · Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki et al.2023 · 10 citationsarXiv
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds2311.03760v3 · Shion Takeno, Yu Inatsu, Masayuki Karasuyama et al.2023 · 1 citationarXiv
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds2302.01511v2 · Shion Takeno, Yu Inatsu, Masayuki Karasuyama2023 · 3 citationsarXiv
Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes2302.01513v2 · Shion Takeno, Masahiro Nomura, Masayuki Karasuyama2023 · 3 citationsarXiv
Bayesian Optimization for Cascade-Type Multistage Processes.36283050 · Kusakawa, Shunya, Takeno, Shion, Inatsu, Yu et al.2022 · 6 citationsNeural computation. 2022;34(12):2408-2431
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy.36027725 · Takeno, Shion, Fukuoka, Hitoshi, Tsukada, Yuhki et al.2022 · 3 citationsNeural computation. 2022;34(10):2145-2203
Bayesian Optimization for Distributionally Robust Chance-constrained Problem2201.13112v2 · Yu Inatsu, Shion Takeno, Masayuki Karasuyama et al.2022 · 2 citationsarXiv
Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound2102.09788v4 · Shion Takeno, Tomoyuki Tamura, Kazuki Shitara et al.2021 · 4 citationsProceedings of the 39th International Conference on Machine Learning, PMLR 162:20960-20986, 2022
Cost-effective search for lower-error region in material parameter space using multifidelity Gaussian process modeling2003.13428v1 · Shion Takeno, Yuhki Tsukada, Hitoshi Fukuoka et al.2020 · 4 citationsPhys. Rev. Materials 4, 083802 (2020)
Estimation of material parameters based on precipitate shape: efficient identification of low-error region with Gaussian process modeling.31673031 · Tsukada, Yuhki, Takeno, Shion, Karasuyama, Masayuki et al.2021 · 7 citationsScientific reports. 2019;9(1):15794
Multi-objective Bayesian Optimization using Pareto-frontier Entropy1906.00127v2 · Shinya Suzuki, Shion Takeno, Tomoyuki Tamura et al.2019 · 40 citationsarXiv
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization1901.08275v2 · Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada et al.2019 · 40 citationsarXiv
Career total: 35 works. 27 are in this corpus.
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