A stochastic subspace approach to gradient-free optimization in high dimensions.
David KozakStephen BeckerAlireza DoostanLuis TenorioPublished in: Comput. Optim. Appl. (2021)
Keyphrases
- high dimensions
- high dimensional data
- high dimensional
- stochastic optimization
- stochastic programming
- low dimensional
- high dimensional spaces
- high dimensionality
- dimensionality reduction
- indexing schemes
- principal component analysis
- neural network
- edge detection
- input image
- input data
- nearest neighbor
- similarity search
- data analysis
- pattern recognition
- poor quality
- database systems
- data sets
- database