Continuous multi-task Bayesian Optimisation with correlation
Volume: 270, Issue: 3, Pages: 1074 - 1085
Published: Nov 1, 2018
Abstract
This paper considers the problem of simultaneously identifying the optima for a (continuous or discrete) set of correlated tasks, where the performance of a particular input parameter on a particular task can only be estimated from (potentially noisy) samples. This has many applications, for example, identifying a stochastic algorithm’s optimal parameter settings for various tasks described by continuous feature values. We adapt the framework of...
Paper Details
Title
Continuous multi-task Bayesian Optimisation with correlation
Published Date
Nov 1, 2018
Volume
270
Issue
3
Pages
1074 - 1085
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