Stochastic quasi-Newton methods for non-strongly convex problems: Convergence and rate analysis

Mathematics

• Quasi-Newton Method 95%
• Stochastic Methods 87%
• Convergence Analysis 70%
• Convergence Rate 64%
• Regularization Parameter 55%
• Value Function 48%
• Regularization 44%
• Objective function 42%
• Empirical Analysis 35%
• Binary Classification 35%
• Analysis of Algorithms 34%
• Quasi-Newton 33%
• Stochastic Optimization 30%
• Stochastic Approximation 29%
• Classification Problems 28%
• Machine Learning 27%
• Approximation Scheme 26%
• Expected Value 26%
• Convexity 21%
• Decay 20%
• Knowledge 19%
• Rate of Convergence 19%
• Gradient 19%
• Optimization 19%
• Optimization Problem 18%
• Iteration 16%
• Converge 16%
• Zero 12%
• Approximation 12%

Business & Economics

• Regularization 100%
• Value Function 40%
• Objective Function 35%
• Stochastic Approximation 28%
• Machine Learning 25%
• Stochastic Optimization 24%
• Rate of Convergence 23%
• Convexity 21%
• Decay 21%
• Gradient 21%
• Expected Value 19%
• Optimization Problem 17%
• Approximation 15%
• Empirical Analysis 13%

Engineering & Materials Science

• Newton-Raphson method 84%
• Machine learning 14%