1 citations · 2 across the 4 of their papers we have counts for
4 papers
Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure
Masahiro Nomura, Isao Ono
In this paper, we propose a new natural evolution strategy for unconstrained black-box function optimization (BBFO) problems and implicitly constrained BBFO problems. BBFO problems…
Warm Starting CMA-ES for Hyperparameter Optimization
Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto +2
Hyperparameter optimization (HPO), formulated as black-box optimization (BBO), is recognized as essential for automation and high performance of machine learning approaches. The CM…
Simple and Scalable Parallelized Bayesian Optimization
Masahiro Nomura
In recent years, leveraging parallel and distributed computational resources has become essential to solve problems of high computational cost. Bayesian optimization (BO) has shown…
A Simple Heuristic for Bayesian Optimization with A Low Budget
Masahiro Nomura, Kenshi Abe
The aim of black-box optimization is to optimize an objective function within the constraints of a given evaluation budget. In this problem, it is generally assumed that the comput…