Huan Li

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20132018

most citedLinearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning

53 citations · 96 across the 5 of their papers we have counts for

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math.NA2016★ 4 cited

Accelerated Alternating Direction Method of Multipliers: an Optimal $O (1/ K)$ Nonergodic Analysis

Huan Li, Zhouchen Lin

The Alternating Direction Method of Multipliers (ADMM) is widely used for linearly constrained convex problems. It is proven to have an $o (1/ K)$ nonergodic convergence rate…

math.NA2013★ 53 cited

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning

Zhouchen Lin, Risheng Liu, Huan Li

Many problems in machine learning and other fields can be (re)for-mulated as linearly constrained separable convex programs. In most of the cases, there are multiple blocks of vari…

Accelerated Alternating Direction Method of Multipliers: an Optimal O(1/K) Nonergodic Analysis

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning

Accelerated Alternating Direction Method of Multipliers: an Optimal $O (1/ K)$ Nonergodic Analysis