28 citations · 131 across the 41 of their papers we have counts for
5 papers · 1 filter
An ADMM Algorithm for Clustering Partially Observed Networks
Necdet Serhat Aybat, Sahar Zarmehri, Soundar Kumara
Community detection has attracted increasing attention during the past decade, and many algorithms have been proposed to find the underlying community structure in a given network.…
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
Necdet Serhat Aybat, Garud Iyengar, Zi Wang
We propose a distributed first-order augmented Lagrangian (DFAL) algorithm to minimize the sum of composite convex functions, where each term in the sum is a private cost function…
A Parallel Method for Large Scale Convex Regression Problems
Necdet Serhat Aybat, Zi Wang
Convex regression (CR) problem deals with fitting a convex function to a finite number of observations. It has many applications in various disciplines, such as statistics, economi…
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
Sam Davanloo Tajbakhsh, Necdet Serhat Aybat, Enrique Del Castillo
Iterative methods for fitting a Gaussian Random Field (GRF) model via maximum likelihood (ML) estimation requires solving a nonconvex optimization problem. The problem is aggravate…
Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets
Ashkan Jasour, Necdet Serhat Aybat, Constantino Lagoa
In this paper, "chance optimization" problems are introduced, where one aims at maximizing the probability of a set defined by polynomial inequalities. These problems are, in gener…