2 citations · 2 across the 3 of their papers we have counts for
4 papers
Cluster Quilting: Spectral Clustering for Patchwork Learning
Lili Zheng, Andersen Chang, Genevera I. Allen
Patchwork learning arises as a new and challenging data collection paradigm where both samples and features are observed in fragmented subsets. Due to technological limits, measure…
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Genevera I. Allen, Luqin Gan, Lili Zheng
New technologies have led to vast troves of large and complex datasets across many scientific domains and industries. People routinely use machine learning techniques to not only p…
Nonparanormal Graph Quilting with Applications to Calcium Imaging
Andersen Chang, Lili Zheng, Gautam Dasarthy +1
Probabilistic graphical models have become an important unsupervised learning tool for detecting network structures for a variety of problems, including the estimation of functiona…
High-dimensional Multi-class Classification with Presence-only Data
Lili Zheng, Garvesh Raskutti
Classification with positive and unlabeled (PU) data frequently arises in bioinformatics, clinical data, and ecological studies, where collecting negative samples can be prohibitiv…