85 citations · 102 across the 14 of their papers we have counts for
3 papers · 2 filters
Inexact Online Proximal-gradient Method for Time-varying Convex Optimization
Amirhossein Ajalloeian, Andrea Simonetto, Emiliano Dall'Anese
This paper considers an online proximal-gradient method to track the minimizers of a composite convex function that may continuously evolve over time. The online proximal-gradient…
Optimal Rate of Convergence for Quasi-Stochastic Approximation
Andrey Bernstein, Yue Chen, Marcello Colombino +3
The Robbins-Monro stochastic approximation algorithm is a foundation of many algorithmic frameworks for reinforcement learning (RL), and often an efficient approach to solving (or…
Dynamic Distribution State Estimation Using Synchrophasor Data
Jianhan Song, Emiliano Dall'Anese, Andrea Simonetto +1
The increasing deployment of distribution-level phasor measurement units (PMUs) calls for dynamic distribution state estimation (DDSE) approaches that tap into high-rate measuremen…