From Sequential to Parallel, a story about Bayesian Hyperparameter Optimization
Andres Asaravicius
Apr 26
“The goal of this process is to find the best set of parameters, and our goal was to reduce the run time required for the algorithm to find the optimum set of parameters. But how could we reduce the run time without messing up the algorithm?”