6 citations · 15 across the 11 of their papers we have counts for
16 papers · 1 filter
Modified Block Newton Algorithm for -Regularized Optimization
Yuge Ye, Qingna Li
In this paper, we propose a globally convergent Newton type method to solve regularized sparse optimization problem. In fact, a line search strategy is applied to the Newt…
An Efficient Smoothing Damped Newton Method for Large-Scale Mathematical Programs with Equilibrium Constraints
Yixin Wang, Qingna Li, Liwei Zhang
Bilevel hyperparameter optimization has received growing attention thanks to the fast development of machine learning. Due to the tremendous size of data sets, the scale of bilevel…
Proximal Iterative Hard Thresholding Algorithm for Sparse Group -Regularized Optimization with Box Constraint
Yuge Ye, Qingna Li
This paper investigates a general class of problems in which a lower bounded smooth convex function incorporating and regularization is minimized over a box…
Subspace Newton's Method for -Regularized Optimization Problems with Box Constraint
Yuge Ye, Qingna Li
This paper investigates the box-constrained -regularized sparse optimization problem. We introduce the concept of a -stationary point and establish its connection to the…
Inexact Regularized Quasi-Newton Algorithm for Solving Monotone Variational Inequality Problems
Yuge Ye, Qingna Li, Deren Han
Newton's method has been an important approach for solving variational inequalities, quasi-Newton method is a good alternative choice to save computational cost. In this paper, we…
A Spectral Projected Gradient Method for Computational Protein Design problem
Yukai Zheng, Qingna Li
In this paper, we consider the computational protein design (CPD) problem, which is usually modeled as 0/1 programming and is extremely challenging due to its combinatorial propert…