3 papers
stat.ML2020
Feature Selection for Huge Data via Minipatch Learning
Tianyi Yao, Genevera I. Allen
Feature selection often leads to increased model interpretability, faster computation, and improved model performance by discarding irrelevant or redundant features. While feature…
stat.ME2020
Supervised Convex Clustering
Minjie Wang, Tianyi Yao, Genevera I. Allen
Clustering has long been a popular unsupervised learning approach to identify groups of similar objects and discover patterns from unlabeled data in many applications. Yet, coming…
stat.ML2019
Clustered Gaussian Graphical Model via Symmetric Convex Clustering
Tianyi Yao, Genevera I. Allen
Knowledge of functional groupings of neurons can shed light on structures of neural circuits and is valuable in many types of neuroimaging studies. However, accurately determining…