no code implementations • 14 Jun 2020 • Eli Chien, Olgica Milenkovic, Angelia Nedich
Here we introduce the first known approach to support estimation in the presence of sampling artifacts and errors where each sample is assumed to arise from a Poisson repeat channel which simultaneously captures repetitions and deletions of samples.
1 code implementation • 31 May 2018 • Hoi-To Wai, Wei Shi, Cesar A. Uribe, Angelia Nedich, Anna Scaglione
This paper studies an acceleration technique for incremental aggregated gradient ({\sf IAG}) method through the use of \emph{curvature} information for solving strongly convex finite sum optimization problems.
no code implementations • 7 Jul 2013 • Angelia Nedich, Soomin Lee
This paper considers stochastic subgradient mirror-descent method for solving constrained convex minimization problems.
Optimization and Control Systems and Control
no code implementations • 19 Mar 2013 • Farzad Yousefian, Angelia Nedich, Uday V. Shanbhag
While a centralized adaptive stepsize SA scheme is proposed in [1] for the optimization framework, such a scheme provides no freedom for the agents in choosing their own stepsizes.
Optimization and Control
