28 citations · 38 across the 4 of their papers we have counts for
4 papers
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…
Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization
Necdet Serhat Aybat, Zi Wang, Tianyi Lin +1
Given an undirected graph of agents connected with edges in , we study how to compute an optimal d…
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…