Hui Zou

The Lasso for Tweedie's Compound Poisson Model Using an IRLS-BMD Algorithm

Wei Qian , Yi Yang , Hui Zou

Expectile Regression in Reproducing Kernel Hilbert Space

Yi Yang , Teng Zhang , Hui Zou

Multi-Layer Group-Lasso

Quentin Grimonprez , Samuel Blanck , Alain Celisse , Guillemette Marot , Yi Yang , Hui Zou

The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled Sparse Asymmetric Least Squares (COSALES) using Coordinate Descent and Proximal Gradient Algorithms

Yuwen Gu , Hui Zou

A Boosted Tweedie Compound Poisson Model

Yi Yang , Hui Zou , Wei Qian , Greg Ridgeway

Alternating Manifold Proximal Gradient Method for Sparse PCA

Shixiang Chen , Justin Huang , Benjamin Jochem , Shiqian Ma , Haichuan Xu , Lingzhou Xue , Zhong Zheng , Hui Zou

Elastic-Net for Sparse Estimation and Sparse PCA

Hui Zou , Trevor Hastie

Nonparametric Multiple Expectile Regression via ER-Boost

Yi Yang , Hui Zou , Greg Ridgeway

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

Yi Yang , Hui Zou

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

Yi Yang , Yuwen Gu , Hui Zou

Group Lasso Penalized Learning Using a Unified BMD Algorithm

Yi Yang , Hui Zou , Sahir Bhatnagar

Distance Weighted Discrimination (DWD) and Kernel Methods

Boxiang Wang , Hui Zou

Multi-Class Sparse Discriminant Analysis

Qing Mai , Yi Yang , Hui Zou

Sparse Distance Weighted Discrimination

Boxiang Wang , Hui Zou

Sparse Group Lasso

Daniel J. McDonald , Xiaoxuan Liang , Anibal Solón Heinsfeld , Aaron Cohen , Yi Yang , Hui Zou , Jerome Friedman , Trevor Hastie , Rob Tibshirani , Balasubramanian Narasimhan , Kenneth Tay , Noah Simon , Junyang Qian , James Yang