86 citations · 467 across the 40 of their papers we have counts for
3 papers · 1 filter
A General Framework for Mixed Graphical Models
Eunho Yang, Pradeep Ravikumar, Genevera I. Allen +3
"Mixed Data" comprising a large number of heterogeneous variables (e.g. count, binary, continuous, skewed continuous, among other data types) are prevalent in varied areas such as…
Convex Biclustering
Eric C. Chi, Genevera I. Allen, Richard G. Baraniuk
In the biclustering problem, we seek to simultaneously group observations and features. While biclustering has applications in a wide array of domains, ranging from text mining to…
Local-Aggregate Modeling for Big-Data via Distributed Optimization: Applications to Neuroimaging
Yue Hu, Genevera I. Allen
Technological advances have led to a proliferation of structured big data that have matrix-valued covariates. We are specifically motivated to build predictive models for multi-sub…