activity
20122023
most citedCMA-ES with Learning Rate Adaptation: Can CMA-ES with Default Population Size Solve Multimodal and Noisy Problems?

14 citations · 31 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NE2023★ 12 cited

Natural Evolution Strategy for Mixed-Integer Black-Box Optimization

Koki Ikeda, Isao Ono

This paper proposes a natural evolution strategy (NES) for mixed-integer black-box optimization (MI-BBO) that appears in real-world problems such as hyperparameter optimization of…

cs.NE2023★ 14 cited

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

Masahiro Nomura, Youhei Akimoto, Isao Ono

The covariance matrix adaptation evolution strategy (CMA-ES) is one of the most successful methods for solving black-box continuous optimization problems. One practically useful as…

cs.NE2022

Fast Moving Natural Evolution Strategy for High-Dimensional Problems

Masahiro Nomura, Isao Ono

In this work, we propose a new variant of natural evolution strategies (NES) for high-dimensional black-box optimization problems. The proposed method, CR-FM-NES, extends a recentl…

cs.CL2021★ 1 cited

ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing

Yixuan Weng, Fei Xia, Bin Li +2

Scientific documents often contain a large number of acronyms. Disambiguation of these acronyms will help researchers better understand the meaning of vocabulary in the documents.…

cs.NE2021

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…

cs.NE2012★ 4 cited

Theoretical foundation for CMA-ES from information geometric perspective

Youhei Akimoto, Yuichi Nagata, Isao Ono +1

This paper explores the theoretical basis of the covariance matrix adaptation evolution strategy (CMA-ES) from the information geometry viewpoint. To establish a theoretical founda…