5 papers
iLOCO: Distribution-Free Inference for Feature Interactions
Camille Little, Lili Zheng, Genevera Allen
Feature importance measures are widely studied and are essential for understanding model behavior, guiding feature selection, and enhancing interpretability. However, many machine…
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…
Joint Semi-Symmetric Tensor PCA for Integrating Multi-modal Populations of Networks
Jiaming Liu, Lili Zheng, Zhengwu Zhang +1
Multi-modal populations of networks arise in many scenarios including in large-scale multi-modal neuroimaging studies that capture both functional and structural neuroimaging data…
Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions
Lili Zheng, Garvesh Raskutti, Rebecca Willett +1
High-dimensional autoregressive point processes model how current events trigger or inhibit future events, such as activity by one member of a social network can affect the future…
Testing for high-dimensional network parameters in auto-regressive models
Lili Zheng, Garvesh Raskutti
High-dimensional auto-regressive models provide a natural way to model influence between actors given multi-variate time series data for time intervals. While there has bee…