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Group Lasso Penalized Learning Using a Unified BMD Algorithm

Lasso and Elastic-Net Penalized Cox's Regression in High Dimensions Models using the Cocktail Algorithm

Hybrid Analysis of Population and Trio Data with Knockoff Statistics for FDR Control

Sparsity Oriented Importance Learning

GWAS with Trio and Duo Data using Knockoff Statistics for FDR Control

Direction Analysis for Pathways and Kinases

Cluster Evaluation

Adaptive Sampling for Positive Unlabeled and Label Noise Learning

The (Adaptive) LASSO and Elastic Net Penalized Least Squares, Logistic Regression, Hybrid Huberized Support Vector Machines, Squared Hinge Loss Support Vector Machines and Expectile Regression using a Fast Generalized Coordinate Descent Algorithm

A Boosted Tweedie Compound Poisson Model

Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models

Multi-Class Sparse Discriminant Analysis

Nonparametric Multiple Expectile Regression via ER-Boost

A Partially Interpretable Model with Black-Box Refinement

Expectile Regression in Reproducing Kernel Hilbert Space