Nonconvex Sparse Optimization

An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization (TMLR, 2023)

Optimization problems with group sparse regularization are ubiquitous in various popular downstream applications, such as feature selection and compression for Deep Neural Networks (DNNs). Nonetheless, the existing methods in the literature do not …