6 citations · 6 across the 1 of their papers we have counts for
3 papers
math.OC2020
Distributed Optimization, Averaging via ADMM, and Network Topology
Guilherme França, José Bento
There has been an increasing necessity for scalable optimization methods, especially due to the explosion in the size of datasets and model complexity in modern machine learning ap…
math.OC2018
ADMM and Accelerated ADMM as Continuous Dynamical Systems
Guilherme França, Daniel P. Robinson, René Vidal
Recently, there has been an increasing interest in using tools from dynamical systems to analyze the behavior of simple optimization algorithms such as gradient descent and acceler…
stat.ML2017★ 6 cited
Markov Chain Lifting and Distributed ADMM
Guilherme França, José Bento
The time to converge to the steady state of a finite Markov chain can be greatly reduced by a lifting operation, which creates a new Markov chain on an expanded state space. For a…