SHARP GLOBAL CONVERGENCE GUARANTEES FOR ITERATIVE NONCONVEX OPTIMIZATION WITH RANDOM DATA

Mathematics

• Convergence Rate 100%
• Deterministic Sequence 100%
• Nonconvex Problem 50%
• Gaussian Distribution 50%
• Covariate 50%
• Regression Model 50%
• Lower and upper bounds 50%
• Numerical Experiment 50%
• Parameter Estimation 50%
• Subgradient 50%
• Comparison Theorem 50%

Keyphrases

• Sample Splitting 50%
• Gaussian Comparison 50%
• High-order Algorithms 50%
• Subgradient Descent 50%