Open Loop Hyperparameter Optimization and Determinantal Point Processes

Driven by the need for parallelizable hyperparameter optimization methods, this paper studies \emph{open loop} search methods: sequences that are predetermined and can be generated before a single configuration is evaluated. Examples include grid search, uniform random search, low discrepancy sequences, and other sampling distributions... (read more)

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Methods used in the Paper


METHOD TYPE
Random Search
Hyperparameter Search