Masahiro Nomura | DeepAI

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Masaaki Imaizumi
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Masahiro Kato
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Shota Saito
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Yuta Saito
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Kaito Ariu
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Chao Qin
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∙ 05/01/2023

(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems

The covariance matrix adaptation evolution strategy (CMA-ES) is an effic...

0 Yohei Watanabe, et al. ∙

∙ 04/07/2023

CMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?

The covariance matrix adaptation evolution strategy (CMA-ES) is one of t...

0 Masahiro Nomura, et al. ∙

∙ 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. ∙

∙ 12/19/2022

CMA-ES with Margin for Single-and Multi-Objective Mixed-Integer Black-Box Optimization

This study targets the mixed-integer black-box optimization (MI-BBO) pro...

0 Ryoki Hamano, et al. ∙

∙ 05/26/2022

CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization

This study targets the mixed-integer black-box optimization (MI-BBO) pro...

0 Ryoki Hamano, et al. ∙

∙ 01/27/2022

Fast Moving Natural Evolution Strategy for High-Dimensional Problems

In this work, we propose a new variant of natural evolution strategies (...

0 Masahiro Nomura, et al. ∙

∙ 01/12/2022

Best Arm Identification with a Fixed Budget under a Small Gap

We consider the fixed-budget best arm identification problem in the mult...

17 Masahiro Kato, et al. ∙

∙ 11/22/2021

Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies

Natural Evolution Strategies (NES) is a promising framework for black-bo...

0 Masahiro Nomura, et al. ∙

∙ 08/21/2021

Natural Evolution Strategy for Unconstrained and Implicitly Constrained Problems with Ridge Structure

In this paper, we propose a new natural evolution strategy for unconstra...

0 Masahiro Nomura, et al. ∙

∙ 12/13/2020

Warm Starting CMA-ES for Hyperparameter Optimization

Hyperparameter optimization (HPO), formulated as black-box optimization ...

0 Masahiro Nomura, et al. ∙

∙ 06/24/2020

Simple and Scalable Parallelized Bayesian Optimization

In recent years, leveraging parallel and distributed computational resou...

0 Masahiro Nomura, et al. ∙

∙ 06/18/2020

Multi-Source Unsupervised Hyperparameter Optimization

How can we conduct efficient hyperparameter optimization for a completel...

0 Masahiro Nomura, et al. ∙

∙ 11/18/2019

A Simple Heuristic for Bayesian Optimization with A Low Budget

The aim of black-box optimization is to optimize an objective function w...

0 Masahiro Nomura, et al. ∙

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