Guoqing Zhao

Rate of convergence for data augmentation and inverse Bayes formula method in the genetic linkage model

2017

Many statistical problems can be formulated as the missing data problems. The data augmentation algorithm and the inverse Bayes formula are important tools for constructing iterative optimization or samplings via the introduction of unobserved data …

Get a Head Start: Targeted Labeling at Source with Limited Annotation Overhead for Semi-Supervised Learning

2023

Semi-supervised learning (SSL), which leverages limited labeled data and a large amount of unlabeled data for model training, has been widely studied to mitigate the requirement for expensive and time-consuming annotations. Recently proposed methods have …