The covariance matrix adaptation evolution strategy (CMA-ES) is an effic...
The covariance matrix adaptation evolution strategy (CMA-ES) is one of t...
We study preferential Bayesian optimization (BO) where reliable feedback...
This study targets the mixed-integer black-box optimization (MI-BBO) pro...
This study targets the mixed-integer black-box optimization (MI-BBO) pro...
In this work, we propose a new variant of natural evolution strategies (...
We consider the fixed-budget best arm identification problem in the
mult...
Natural Evolution Strategies (NES) is a promising framework for black-bo...
In this paper, we propose a new natural evolution strategy for unconstra...
Hyperparameter optimization (HPO), formulated as black-box optimization
...
In recent years, leveraging parallel and distributed computational resou...
How can we conduct efficient hyperparameter optimization for a completel...
The aim of black-box optimization is to optimize an objective function w...