Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence

Meisam Tavakoli, Fabian Jakob, Guido Carnevale +2

This work studies the linear convergence of an accelerated scheme of the Alternating Direction Method of Multipliers (ADMM) for strongly convex and Lipschitz-smooth problems. We us…