JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data

Update: 02 December, 2023

JUMBO is a multi-task Bayesian optimization algorithm that combines the acquisition signals from online and offline data, using a cold GP in the input domain and a warm GP in the feature space of a deep neural network.

File format: PDF

Size: 3542 KB

MD5 Checksum: 34408FEEF475C9C7B31859E5D781EB0A

Publication date: 02 December, 2023

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PDF Link: JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data PDF

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