Multi-Fidelity Black-Box Optimization with Hierarchical Partitions

ICML 2018 Rajat SenKirthevasan KandasamySanjay Shakkottai

Motivated by settings such as hyper-parameter tuning and physical simulations, we consider the problem of black-box optimization of a function. Multi-fidelity techniques have become popular for applications where exact function evaluations are expensive, but coarse (biased) approximations are available at much lower cost... (read more)

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