2 citations · 7 across the 8 of their papers we have counts for
5 papers · 1 filter
Decentralized Weakly Convex Optimization Over the Stiefel Manifold
Jinxin Wang, Jiang Hu, Shixiang Chen +2
We focus on a class of non-smooth optimization problems over the Stiefel manifold in the decentralized setting, where a connected network of agents cooperatively minimize a fin…
An Online Algorithm for Chance Constrained Resource Allocation
Yuwei Chen, Zengde Deng, Yinzhi Zhou +3
This paper studies the online stochastic resource allocation problem (RAP) with chance constraints. The online RAP is a 0-1 integer linear programming problem where the resource co…
Online Primal-Dual Algorithms For Stochastic Resource Allocation Problems
Yuwei Chen, Zengde Deng, Zaiyi Chen +3
This paper studies the online stochastic resource allocation problem (RAP) with chance constraints and conditional expectation constraints. The online RAP is an integer linear prog…
Weakly Convex Optimization over Stiefel Manifold Using Riemannian Subgradient-Type Methods
Xiao Li, Shixiang Chen, Zengde Deng +3
We consider a class of nonsmooth optimization problems over the Stiefel manifold, in which the objective function is weakly convex in the ambient Euclidean space. Such problems are…
An Efficient Augmented Lagrangian Based Method for Constrained Lasso
Zengde Deng, Anthony Man-Cho So
Variable selection is one of the most important tasks in statistics and machine learning. To incorporate more prior information about the regression coefficients, the constrained L…