Universal Inference Meets Random Projections: A Scalable Test for Log-concavity.
Robin DunnLarry A. WassermanAaditya RamdasPublished in: CoRR (2021)
Keyphrases
- random projections
- compressive sensing
- dimensionality reduction
- original data
- dimension reduction
- image reconstruction
- neural network
- compressed sensing
- hash functions
- sparse representation
- low dimensional
- principal component analysis
- high dimensional
- data streams
- feature selection
- data sets
- distributed source coding