130 citations · 317 across the 27 of their papers we have counts for
Showing 2017 · stat.MLShow all
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stat.ML2017★ 20 cited
How is Distributed ADMM Affected by Network Topology?
Guilherme França, José Bento
When solving consensus optimization problems over a graph, there is often an explicit characterization of the convergence rate of Gradient Descent (GD) using the spectrum of the gr…
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…
stat.ML2017★ 1 cited
Tuning Over-Relaxed ADMM
Guilherme França, José Bento
The framework of Integral Quadratic Constraints (IQC) reduces the computation of upper bounds on the convergence rate of several optimization algorithms to a semi-definite program…