SHARP GLOBAL CONVERGENCE GUARANTEES FOR ITERATIVE NONCONVEX OPTIMIZATION WITH RANDOM DATA

Earth and Planetary Sciences

• Algorithms 100%
• Class 20%
• Comparison 20%
• Condition 20%
• Datum 100%
• Descent 20%
• Dimension 20%
• Error 40%
• Experiment 20%
• Fitting 20%
• Floor 20%
• Mixture 20%
• Model 40%
• Optimization 100%
• Order 40%
• Parameter Estimation 20%
• Rate 40%
• Regime 20%
• Regression 40%
• Retrieval 20%
• Sample 80%
• Show 20%
• Size 20%
• Splitting 20%
• Theorem 20%

Computer Science

• Algorithms 80%
• Classes 20%
• Convergence 20%
• Convergence Rate 40%
• Convex Optimization 20%
• General Framework 20%
• Global Convergence 100%
• Iterations 20%
• Iterative Algorithm 20%
• Lower Bounds 20%
• Models 40%
• Natural Condition 20%
• Optimization 100%
• Optimization Problem 20%
• Parameter Estimation 20%
• Regression 40%
• Statistical Model 20%

Mathematics

• Algorithm 40%
• Bounds 20%
• Classes 20%
• Convergence Rate 40%
• Covariate 20%
• Gaussian 20%
• Nonconvex Problem 20%
• Numerical Experiment 20%
• Optimization 100%
• Order 40%
• Parameter Estimation 20%
• Regression 20%
• Regression Model 20%
• Sample Size 20%
• Samples 60%
• Satisfying 20%
• Sequences 20%
• Subgradient 20%