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Oral
ADMM and Accelerated ADMM as Continuous Dynamical Systems
Guilherme Franca · Daniel Robinson · Rene Vidal

Wed Jul 11 07:30 AM -- 07:40 AM (PDT) @ A9

Recently, there has been an increasing interest in using tools from dynamicalsystems to analyze the behavior of simple optimization algorithms such as gradient descent and accelerated variants. This paper strengthens such connections by deriving the differential equations that model the continuous limit of the sequence of iterates generated by the alternating direction method of multipliers, as well as an accelerated variant. We employ the direct methodof Lyapunov to analyze the stability of critical points of the dynamical systems and to obtain associated convergence rates.

Author Information

Guilherme Franca (Johns Hopkins University)
Daniel Robinson (Johns Hopkins University)
Rene Vidal (Johns Hopkins University)

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