28 citations · 131 across the 41 of their papers we have counts for
5 papers · 1 filter
A distributed ADMM-like method for resource sharing over time-varying networks
Necdet Serhat Aybat, Erfan Yazdandoost Hamedani
We consider cooperative multi-agent resource sharing problems over time-varying communication networks, where only local communications are allowed. The objective is to minimize th…
A Parallelizable Dual Smoothing Method for Large Scale Convex Regression Problems
Necdet Serhat Aybat, Zi Wang
Convex regression (CR) is an approach for fitting a convex function to a finite number of observations. It arises in various applications from diverse fields such as statistics, op…
On the analysis of inexact augmented Lagrangian schemes for misspecified conic convex programs
N. S. Aybat, H. Ahmadi, U. V. Shanbhag
We consider the misspecified optimization problem of minimizing a convex function in over a conic constraint set represented by , where $θ^…
A primal-dual method for conic constrained distributed optimization problems
Necdet Serhat Aybat, Erfan Yazdandoost Hamedani
We consider cooperative multi-agent consensus optimization problems over an undirected network of agents, where only those agents connected by an edge can directly communicate. The…
Generalized Sparse Precision Matrix Selection for Fitting Multivariate Gaussian Random Fields to Large Data Sets
Sam Davanloo Tajbakhsh, Necdet Serhat Aybat, Enrique del Castillo
We present a new method for estimating multivariate, second-order stationary Gaussian Random Field (GRF) models based on the Sparse Precision matrix Selection (SPS) algorithm, prop…