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math.ST2023
Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models
Michael Celentano, Zhou Fan, Licong Lin +1
We study mean-field variational inference in a Bayesian linear model when the sample size n is comparable to the dimension p. In high dimensions, the common approach of minimizing…
cs.LG2023★ 4 cited
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
Zhou Fan, Xinran Han, Zi Wang
Bayesian optimization (BO) is a popular black-box function optimization method, which makes sequential decisions based on a Bayesian model, typically a Gaussian process (GP), of th…