Private Identity Testing for High-Dimensional Distributions.
Clément L. CanonneGautam KamathAudra McMillanJonathan R. UllmanLydia ZakynthinouPublished in: NeurIPS (2020)
Keyphrases
- high dimensional
- variable selection
- privacy preserving
- probability distribution
- data sets
- low dimensional
- similarity search
- exponential distributions
- identity management
- power law
- sparse data
- gaussian distribution
- noisy data
- gene expression data
- test set
- multi modal
- parameter space
- random variables
- normal distribution
- multi dimensional
- kullback leibler divergence
- heavy tailed
- feature space
- low dimensional manifolds
- database