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20202023
most citedAdditive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation

9 citations · 25 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2023★ 2 cited

A Corrected Expected Improvement Acquisition Function Under Noisy Observations

Han Zhou, Xingchen Ma, Matthew B Blaschko

Sequential maximization of expected improvement (EI) is one of the most widely used policies in Bayesian optimization because of its simplicity and ability to handle noisy observat…

cs.LG2023

Confidence-aware Personalized Federated Learning via Variational Expectation Maximization

Junyi Zhu, Xingchen Ma, Matthew B. Blaschko

Federated Learning (FL) is a distributed learning scheme to train a shared model across clients. One common and fundamental challenge in FL is that the sets of data across clients…