Search Results for author: Mark Eisen

Found 16 papers, 0 papers with code

Learning Decentralized Wireless Resource Allocations with Graph Neural Networks

no code implementations3 Jul 2021 Zhiyang Wang, Mark Eisen, Alejandro Ribeiro

We consider the broad class of decentralized optimal resource allocation problems in wireless networks, which can be formulated as a constrained statistical learning problems with a localized information structure.

Unsupervised Learning for Asynchronous Resource Allocation in Ad-hoc Wireless Networks

no code implementations5 Nov 2020 Zhiyang Wang, Mark Eisen, Alejandro Ribeiro

We capture the asynchrony by modeling the activation pattern as a characteristic of each node and train a policy-based resource allocation method.

Model-Free Design of Control Systems over Wireless Fading Channels

no code implementations3 Sep 2020 Vinicius Lima, Mark Eisen, Konstantinos Gatsis, Alejandro Ribeiro

Wireless control systems replace traditional wired communication with wireless networks to exchange information between actuators, plants and sensors in a control system.

Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications

no code implementations27 Jul 2020 Zhan Gao, Mark Eisen, Alejandro Ribeiro

This paper investigates the general problem of resource allocation for mitigating channel fading effects in Free Space Optical (FSO) communications.

Stochastic Optimization

Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks

no code implementations26 Jun 2020 Zhan Gao, Mark Eisen, Alejandro Ribeiro

This paper investigates the optimal resource allocation in free space optical (FSO) fronthaul networks.

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks

no code implementations17 Feb 2020 Navid Naderializadeh, Mark Eisen, Alejandro Ribeiro

We consider the problem of downlink power control in wireless networks, consisting of multiple transmitter-receiver pairs communicating with each other over a single shared wireless medium.

Model-Free Learning of Optimal Ergodic Policies in Wireless Systems

no code implementations10 Nov 2019 Dionysios S. Kalogerias, Mark Eisen, George J. Pappas, Alejandro Ribeiro

Upon further assuming the use of near-universal policy parameterizations, we also develop explicit bounds on the gap between optimal values of initial, infinite dimensional resource allocation problems, and dual values of their parameterized smoothed surrogates.

Optimal Wireless Resource Allocation with Random Edge Graph Neural Networks

no code implementations4 Sep 2019 Mark Eisen, Alejandro Ribeiro

We consider the problem of optimally allocating resources across a set of transmitters and receivers in a wireless network.

Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems

no code implementations21 Jun 2019 Zhan Gao, Mark Eisen, Alejandro Ribeiro

Radio on Free Space Optics (RoFSO), as a universal platform for heterogeneous wireless services, is able to transmit multiple radio frequency signals at high rates in free space optical networks.

Learning Optimal Resource Allocations in Wireless Systems

no code implementations21 Jul 2018 Mark Eisen, Clark Zhang, Luiz. F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro

This paper considers the design of optimal resource allocation policies in wireless communication systems which are generically modeled as a functional optimization problem with stochastic constraints.

Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method

no code implementations22 May 2017 Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro

In this paper, we propose a novel adaptive sample size second-order method, which reduces the cost of computing the Hessian by solving a sequence of ERM problems corresponding to a subset of samples and lowers the cost of computing the Hessian inverse using a truncated eigenvalue decomposition.

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

no code implementations2 Feb 2017 Aryan Mokhtari, Mark Eisen, Alejandro Ribeiro

This makes their computational cost per iteration independent of the number of objective functions $n$.

Stylometric Analysis of Early Modern Period English Plays

no code implementations18 Oct 2016 Mark Eisen, Santiago Segarra, Gabriel Egan, Alejandro Ribeiro

We first study the similarity of writing styles between Early English playwrights by comparing the profile WANs.

A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization

no code implementations23 Mar 2016 Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro

The resulting dual D-BFGS method is a fully decentralized algorithm in which nodes approximate curvature information of themselves and their neighbors through the satisfaction of a secant condition.

Authorship Attribution through Function Word Adjacency Networks

no code implementations17 Jun 2014 Santiago Segarra, Mark Eisen, Alejandro Ribeiro

Attribution accuracy is observed to exceed the one achieved by methods that rely on word frequencies alone.

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