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20132022
most citedDSA: Decentralized Double Stochastic Averaging Gradient Algorithm

146 citations · 176 across the 17 of their papers we have counts for

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10 papers · 1 filter

math.OC2018

A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization

Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro

We introduce the primal-dual quasi-Newton (PD-QN) method as an approximated second order method for solving decentralized optimization problems. The PD-QN method performs quasi-New…

math.OC2018

Learning in Wireless Control Systems over Non-Stationary Channels

Mark Eisen, Konstantinos Gatsis, George J. Pappas +1

This paper considers a set of multiple independent control systems that are each connected over a non-stationary wireless channel. The goal is to maximize control performance over…

math.OC20182 cited

Random Access Communication for Wireless Control Systems with Energy Harvesting Sensors

Miguel Calvo-Fullana, Carles Antón-Haro, Javier Matamoros +1

In this paper, we study wireless networked control systems in which the sensing devices are powered by energy harvesting. We consider a scenario with multiple plants, where the sen…

math.OC20174 cited

Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method

Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro

We consider large scale empirical risk minimization (ERM) problems, where both the problem dimension and variable size is large. In these cases, most second order methods are infea…

math.OC2017

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate

Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro

The problem of minimizing an objective that can be written as the sum of a set of smooth and strongly convex functions is considered. The Incremental Quasi-Newton (IQN) method…

math.OC2016

Self-Triggered Time-Varying Convex Optimization

Mahyar Fazlyab, Cameron Nowzari, George J. Pappas +2

In this paper, we propose a self-triggered algorithm to solve a class of convex optimization problems with time-varying objective functions. It is known that the trajectory of the…