Batched Gaussian Process Bandit Optimization via Determinantal Point Processes

NeurIPS 2016 Tarun KathuriaAmit DeshpandePushmeet Kohli

Gaussian Process bandit optimization has emerged as a powerful tool for optimizing noisy black box functions. One example in machine learning is hyper-parameter optimization where each evaluation of the target function requires training a model which may involve days or even weeks of computation... (read more)

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