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Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions
Mengdi Wang, Ethan X. Fang, Han Liu
Research output
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Article
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peer-review
43
Scopus citations
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Dive into the research topics of 'Stochastic compositional gradient descent: algorithms for minimizing compositions of expected-value functions'. Together they form a unique fingerprint.
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Mathematics
Descent Algorithm
100%
Gradient Algorithm
96%
Expected Value
80%
Value Function
74%
Gradient Method
17%
Gradient Descent Method
11%
Stochastic Gradient
10%
Converge
9%
Nonconvex Problems
9%
Stochastic Methods
9%
Auxiliary Variables
8%
Limit Point
8%
Stationary point
8%
Optimise
8%
Convex Optimization
8%
Nonlinear Function
7%
Dynamic Programming
7%
Update
7%
Time Scales
7%
Learning
7%
Optimal Solution
6%
Objective function
6%
Rate of Convergence
6%
Gradient
6%
Optimization Problem
5%
Unknown
5%
Iteration
5%
Class
2%
Engineering & Materials Science
Chemical analysis
51%
Steepest descent method
24%
Convex optimization
20%
Dynamic programming
19%