1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ML2026
Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity
Huichao Li, Tong Wang, Sanguo Zhang +1
Most existing multitask learning approaches are limited by their reliance on task-specific loss functions tailored to the scale and type of each outcome. When outcomes differ acros…
stat.ME2024
Deep Transformation Model
Tong Wang, Shunqin Zhang, Sanguo Zhang +2
There has been a significant recent surge in deep neural network (DNN) techniques. Most of the existing DNN techniques have restricted model formats/assumptions. To overcome their…
stat.ML2024★ 1 cited
Penalized Generative Variable Selection
Tong Wang, Jian Huang, Shuangge Ma
Deep networks are increasingly applied to a wide variety of data, including data with high-dimensional predictors. In such analysis, variable selection can be needed along with est…