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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
An Explicit Convergence Rate for Nesterov's Method from SDP
Sam Safavi, Bikash Joshi, Guilherme França +1
The framework of Integral Quadratic Constraints (IQC) introduced by Lessard et al. (2014) reduces the computation of upper bounds on the convergence rate of several optimization al…