High-Dimensional Nonconvex Stochastic Optimization by Doubly Stochastic Successive Convex Approximation.
Aryan MokhtariAlec KoppelPublished in: IEEE Trans. Signal Process. (2020)
Keyphrases
- stochastic optimization
- doubly stochastic
- high dimensional
- weight matrix
- poisson process
- convex functions
- multistage
- wavelet coefficients
- convex optimization
- low dimensional
- dimensionality reduction
- input space
- data points
- high dimensional data
- approximation algorithms
- wavelet transform
- objective function
- kernel function
- machine learning
- queueing networks
- arrival rate
- image segmentation