On the Convergence of ADMM with Task Adaption and Beyond

24 Sep 2019Risheng LiuPan MuJin Zhang

Along with the development of learning and vision, Alternating Direction Method of Multiplier (ADMM) has become a popular algorithm for separable optimization model with linear constraint. However, the ADMM and its numerical variants (e.g., inexact, proximal or linearized) are awkward to obtain state-of-the-art performance when dealing with complex learning and vision tasks due to their weak task-adaption ability... (read more)

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