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Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the O(ε−7/4) Complexity
Alternating Direction Method of Multipliers for Machine Learning
Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
Accelerated First-Order Optimization Algorithms for Machine Learning
Accelerated Optimization for Machine Learning: First-Order Algorithms
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent
Revisiting EXTRA for Smooth Distributed Optimization
Accelerated Alternating Direction Method of Multipliers:An Optimal O(1/K) Nonergodic Analysis
Accelerated Alternating Direction Method of Multipliers: an Optimal O(1/K) Nonergodic Analysis
Construction of Incoherent Dictionaries via Direct Babel Function Minimization
Optimization Algorithm Inspired Deep Neural Network Structure Design
Optimized Projections for Compressed Sensing via Direct Mutual Coherence Minimization
Provable Accelerated Gradient Method for Nonconvex Low Rank Optimization
Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting
Accelerated Proximal Gradient Methods for Nonconvex Programming
Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning
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