Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning

NeurIPS 2019 Valerio PerroneHuibin ShenMatthias SeegerCedric ArchambeauRodolphe Jenatton

Bayesian optimization (BO) is a successful methodology to optimize black-box functions that are expensive to evaluate. While traditional methods optimize each black-box function in isolation, there has been recent interest in speeding up BO by transferring knowledge across multiple related black-box functions... (read more)

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