28 citations · 32 across the 3 of their papers we have counts for
3 papers
math.OC2016★ 2 cited
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…
math.OC2014★ 28 cited
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…
math.OC2014★ 2 cited
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…