On the local convergence of a stochastic semismooth Newton method for nonsmooth nonconvex optimization

Keyphrases

• Local Convergence 100%
• Semismooth Newton Method 100%
• Nonsmooth Optimization 100%
• Approximation Error 33%
• Nonconvex 33%
• Sampling Rate 33%
• High Probability 33%
• Oracle 33%
• Convergence Results 33%
• Growth Conditions 33%
• Newton Step 33%
• Nonsmooth 33%
• Semismooth Newton 33%
• Gradient Information 33%
• Tail Bounds 33%
• Hessian Information 33%
• Matrix Concentration Inequalities 33%
• Composite Optimization 33%
• Gradient Step 33%
• Smooth Part 33%
• Stochastic Composite Optimization 33%
• Stochastic Proximal Gradient 33%
• Global Strategy 33%
• Stochastic Oracles 33%

Mathematics

• Local Convergence 100%
• Stochastics 100%
• Newton's Method 100%
• Objective Function 25%
• Approximation Error 12%
• Matrix (Mathematics) 12%
• Probability Theory 12%
• Convergence Result 12%
• Step Newton 12%
• Sampling Rate 12%
• Growth Condition 12%