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Task-Robust Pre-Training for Worst-Case Downstream Adaptation
On the Lower Bound of Minimizing Polyak-Ćojasiewicz Functions
Zeroth-order Optimization with Weak Dimension Dependency
Alternating Direction Method of Multipliers for Machine Learning
Training Neural Networks by Lifted Proximal Operator Machines
Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters
Accelerated First-Order Optimization Algorithms for Machine Learning
Accelerated Optimization for Machine Learning: First-Order Algorithms
Lifted Proximal Operator Machines
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
SPIDER Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
Feature Learning via Partial Differential Equation with Applications to Face Recognition
Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization
A Robust Hybrid Method for Text Detection in Natural Scenes by Learning-based Partial Differential Equations
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