2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2021
Harnessing Heterogeneity: Learning from Decomposed Feedback in Bayesian Modeling
Kai Wang, Bryan Wilder, Sze-chuan Suen +2
There is significant interest in learning and optimizing a complex system composed of multiple sub-components, where these components may be agents or autonomous sensors. Among the…
q-bio.QM2019★ 2 cited
Who and When to Screen: Multi-Round Active Screening for Recurrent Infectious Diseases Under Uncertainty
Han-Ching Ou, Arunesh Sinha, Sze-Chuan Suen +2
Controlling recurrent infectious diseases is a vital yet complicated problem. In this paper, we propose a novel active screening model (ACTS) and algorithms to facilitate active sc…