
Optimization on manifolds: A symplectic approach
There has been great interest in using tools from dynamical systems and ...
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Distributed Optimization, Averaging via ADMM, and Network Topology
There has been an increasing necessity for scalable optimization methods...
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On Dissipative Symplectic Integration with Applications to GradientBased Optimization
Continuoustime dynamical systems have proved useful in providing concep...
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Gradient Flows and Accelerated Proximal Splitting Methods
Proximal based methods are wellsuited to nonsmooth optimization problem...
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Conformal Symplectic and Relativistic Optimization
Although momentumbased optimization methods have had a remarkable impac...
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Relax, and Accelerate: A Continuous Perspective on ADMM
The acceleration technique first introduced by Nesterov for gradient des...
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An Explicit Convergence Rate for Nesterov's Method from SDP
The framework of Integral Quadratic Constraints (IQC) introduced by Less...
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Energy Clustering
Energy statistics was proposed by Székely in the 80's inspired by the Ne...
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How is Distributed ADMM Affected by Network Topology?
When solving consensus optimization problems over a graph, there is ofte...
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Tuning OverRelaxed ADMM
The framework of Integral Quadratic Constraints (IQC) reduces the comput...
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Markov Chain Lifting and Distributed ADMM
The time to converge to the steady state of a finite Markov chain can be...
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An Explicit Rate Bound for the OverRelaxed ADMM
The framework of Integral Quadratic Constraints of Lessard et al. (2014)...
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Guilherme França
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