146 citations · 176 across the 17 of their papers we have counts for
7 papers · 1 filter
A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning
Aryan Mokhtari, Alec Koppel, Alejandro Ribeiro
We consider learning problems over training sets in which both, the number of training examples and the dimension of the feature vectors, are large. To solve these problems we prop…
Decentralized Dynamic Discriminative Dictionary Learning
Alec Koppel, Garrett Warnell, Ethan Stump +1
We consider discriminative dictionary learning in a distributed online setting, where a network of agents aims to learn a common set of dictionary elements of a feature space and m…
Network Topology Identification from Spectral Templates
Santiago Segarra, Antonio G. Marques, Gonzalo Mateos +1
Network topology inference is a cornerstone problem in statistical analyses of complex systems. In this context, the fresh look advocated here permeates benefits from convex optimi…
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…
A Decentralized Second-Order Method for Dynamic Optimization
Aryan Mokhtari, Wei Shi, Qing Ling +1
This paper considers decentralized dynamic optimization problems where nodes of a network try to minimize a sequence of time-varying objective functions in a real-time scheme. At e…
A Decentralized Quasi-Newton Method for Dual Formulations of Consensus Optimization
Mark Eisen, Aryan Mokhtari, Alejandro Ribeiro
This paper considers consensus optimization problems where each node of a network has access to a different summand of an aggregate cost function. Nodes try to minimize the aggrega…