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02/18/2021
The Variational Bayesian Inference for Network Autoregression Models
We develop a variational Bayesian (VB) approach for estimating large-sca...
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01/19/2020
Finding Optimal Points for Expensive Functions Using Adaptive RBF-Based Surrogate Model Via Uncertainty Quantification
Global optimization of expensive functions has important applications in...
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02/01/2018
Greedy Active Learning Algorithm for Logistic Regression Models
We study a logistic model-based active learning procedure for binary cla...
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07/13/2016