Reinforcement Learning for Respondent-Driven Sampling
Eric Laber
Professor, Duke University
4:00 PM
6011, Donald Bren Hall
Abstract: Respondent-driven sampling (RDS) is a network-based sampling strategy used to study hidden populations for which no sampling frame is available. In each epoch of…
Assistant Professor of Computer Science & Engineering, University of California Santa Cruz
11:00 AM
6011, Donald Bren Hall
Abstract: Hierarchical Clustering (HC) is a widely studied problem in unsupervised learning and exploratory data analysis, usually tackled by simple agglomerative procedures like average-linkage, single-linkage…
Evaluating the Robustness and Efficiency of Estimators for Informative Covariate Censoring
Tanya Garcia
Associate Professor, University of North Carolina-Chapel Hill
4:00 PM
6011, Donald Bren Hall
Abstract: While right-censored time-to-event outcomes have been studied for decades, handling time-to-event covariates, also known as censored covariates, is now of growing interest. So far,…