Exploring Bayesian optimization
Source
Distill
Date Issued
2020-05-01
Author(s)
Agnihotri, Apoorv
Batra, Nipun
Abstract
Many modern machine learning algorithms have a large number of hyperparameters. To effectively use these algorithms, we need to pick good hyperparameter values. In this article, we talk about Bayesian Optimization, a suite of techniques often used to tune hyperparameters. More generally, Bayesian Optimization can be used to optimize any black-box function.
Subjects
Mining Gold
Gold Distribution
Bayesian Optimization
Acquisition Functions
