Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions

Mathematics

• Auxiliary Variables 8%
• Class 2%
• Converge 9%
• Convergence Rate 6%
• Convex Optimization 8%
• Descent Algorithm 100%
• Dynamic Programming 7%
• Expected Value 80%
• Gradient 6%
• Gradient Algorithm 96%
• Gradient Descent 97%
• Gradient Descent Method 11%
• Gradient Method 17%
• Iteration 5%
• Learning 7%
• Limit Point 8%
• Nonconvex Problems 9%
• Nonlinear Function 7%
• Objective function 6%
• Optimal Solution 6%
• Optimise 8%
• Optimization Problem 5%
• Rate of Convergence 6%
• Stationary point 8%
• Stochastic Gradient 10%
• Stochastic Methods 9%
• Time Scales 7%
• Unknown 5%
• Update 7%
• Value Function 74%

Engineering & Materials Science

• Chemical analysis 51%
• Convex optimization 20%
• Dynamic programming 19%
• Steepest descent method 24%