Scalable Adaptive Stochastic Optimization Using Random Projections.
Gabriel KrummenacherBrian McWilliamsYannic KilcherJoachim M. BuhmannNicolai MeinshausenPublished in: NIPS (2016)
Keyphrases
- stochastic optimization
- random projections
- multistage
- dimensionality reduction
- compressive sensing
- sparse representation
- dimension reduction
- image reconstruction
- principal component analysis
- original data
- random sampling
- low dimensional
- support vector
- data sets
- raw data
- linear programming
- hash functions
- neural network