Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions

Keyphrases

• Stochastic Gradient Descent 100%
• Non-convex Learning 100%
• Popular 16%
• Practical Implementation 16%
• Convergence Rate 16%
• Nonconvex 16%
• Learning Process 16%
• Deep Neural Network 16%
• Smoothness Assumption 16%
• Linear Convergence 16%
• Optimal Convergence Rate 16%
• Zero Variance 16%
• Learning Settings 16%
• Nonconvex Model 16%
• Nonconvex Objective Function 16%
• Almost Sure Convergence 16%
• Uniform Boundedness 16%
• Convex Learning 16%

Mathematics

• Stochastics 100%
• Convergence Rate 33%
• Objective Function 33%
• Boundedness 33%
• Variance 16%
• Sufficient Condition 16%
• Linear Convergence 16%
• Deep Neural Network 16%
• Almost Sure Convergence 16%
• Hlder Continuity 16%