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Tomoyuki Tamura

2 accepted papers

2022

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

ICML 2022spotlight

Max-value entropy search (MES) is one of the state-of-the-art approaches in Bayesian optimization (BO). In this paper, we propose a novel variant of MES for constrained problems, called Constrained MES via Information lower BOund (CMES-IBO), that is based on a Monte Carlo (MC) estimator of a lower b…

2020

Multi-objective Bayesian Optimization using Pareto-frontier Entropy

ICML 2020poster

This paper studies an entropy-based multi-objective Bayesian optimization (MBO). Existing entropy-based MBO methods need complicated approximations to evaluate entropy or employ over-simplification that ignores trade-off among objectives. We propose a novel entropy-based MBO called Pareto-frontier e…

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