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20202024
most citedState Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes

4 citations · 8 across the 6 of their papers we have counts for

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cs.LG2022

Fantasizing with Dual GPs in Bayesian Optimization and Active Learning

Paul E. Chang, Prakhar Verma, ST John +3

Gaussian processes (GPs) are the main surrogate functions used for sequential modelling such as Bayesian Optimization and Active Learning. Their drawbacks are poor scaling with dat…