2 papers
math.OC2026
ADMM and Linearized ADMM for Weakly Convex Minimization
Shenghan Mei, Chengyu Ke, Yifei Lou +1
We study a class of weakly convex optimization problems in which the objective is the sum of a smooth convex term and a weakly convex term that may be nonsmooth. To exploit this st…
math.OC2026
Decision-Aware Predictions for Right-Hand Side Parameters in Linear Programs
Jackson Forner, Miju Ahn, Harsha Gangammanavar
This paper studies an integrated learning and optimization problem in which a prediction model estimates the right-hand-side parameters of a linear program (LP) using a contextual…