3 papers
math.OC2026
Learning-enabled Acceleration of Scenario-based Model Predictive Control
Trinh Tran, Binh Nguyen, Truong X. Nghiem
Scenario-based model predictive control (SBMPC) is a variant of model predictive control (MPC) that explicitly accounts for uncertainty by optimizing control actions over multiple…
cs.LG2026
LEAF: A Learning-Enabled ADMM Framework for Accelerated Convex Optimization
Binh Nguyen, Trinh Tran, Truong X. Nghiem
We propose LEAF, a learning-enabled ADMM framework for accelerated convex optimization. The key idea is to approximate the Moreau envelope of the objective function using an Input…
math.OC2021
Sharp, strong and unique minimizers for low complexity robust recovery
Jalal Fadili, Tran T. A. Nghia, Trinh T. T. Tran
In this paper, we show the important roles of sharp minima and strong minima for robust recovery. We also obtain several characterizations of sharp minima for convex regularized op…