PipeBO pipelines the sequential stages of an experiment and updates later-stage parameters with newly completed results, cutting the number of optimization steps to about 56% (K=2), 50% (K=3), and 38% (K=5) of sequential Bayesian optimization on BBOB benchmarks.
ComptesRendus Hebd
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Asynchronous Batch Bayesian Optimization with Pipelining Evaluations for Experimental Resource$\unicode{x2013}$constrained Conditions
PipeBO pipelines the sequential stages of an experiment and updates later-stage parameters with newly completed results, cutting the number of optimization steps to about 56% (K=2), 50% (K=3), and 38% (K=5) of sequential Bayesian optimization on BBOB benchmarks.