Shion Takeno | DeepAI

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∙ 02/03/2023

Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes

We study preferential Bayesian optimization (BO) where reliable feedback...

0 Shion Takeno, et al. ∙

∙ 02/03/2023

Randomized Gaussian Process Upper Confidence Bound with Tight Bayesian Regret Bounds

Gaussian process upper confidence bound (GP-UCB) is a theoretically prom...

0 Shion Takeno, et al. ∙

∙ 01/31/2022

Bayesian Optimization for Distributionally Robust Chance-constrained Problem

In black-box function optimization, we need to consider not only control...

0 Yu Inatsu, et al. ∙

∙ 11/16/2021

Bayesian Optimization for Cascade-type Multi-stage Processes

Complex processes in science and engineering are often formulated as mul...

0 Shunya Kusakawa, et al. ∙

∙ 02/19/2021

Sequential- and Parallel- Constrained Max-value Entropy Search via Information Lower Bound

Recently, several Bayesian optimization (BO) methods have been extended ...

0 Shion Takeno, et al. ∙

∙ 06/01/2019

Multi-objective Bayesian Optimization using Pareto-frontier Entropy

We propose Pareto-frontier entropy search (PFES) for multi-objective Bay...

0 Shinya Suzuki, et al. ∙

∙ 01/24/2019

Multi-fidelity Bayesian Optimization with Max-value Entropy Search

Bayesian optimization (BO) is an effective tool for black-box optimizati...

0 Shion Takeno, et al. ∙

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