2 papers
math.OC2026
A distributed semismooth Newton based augmented Lagrangian method for distributed optimization
Qihao Ma, Chengjing Wang, Peipei Tang +2
This paper proposes a novel distributed semismooth Newton based augmented Lagrangian method for solving a class of optimization problems over networks, where the global objective i…
eess.SP2025
Exactly or Approximately Wasserstein Distributionally Robust Estimation According to Wasserstein Radii Being Small or Large
Xiao Ding, Enbin Song, Dunbiao Niu +2
This paper primarily considers the robust estimation problem under Wasserstein distance constraints on the parameter and noise distributions in the linear measurement model with ad…