Lower Bounds for Private Estimation of Gaussian Covariance Matrices under All Reasonable Parameter Regimes.
Victor S. PortellaNick HarveyPublished in: CoRR (2024)
Keyphrases
- covariance matrices
- lower bound
- estimation problems
- covariance matrix
- maximum likelihood
- gaussian mixture model
- upper bound
- gaussian distribution
- parameter estimates
- vector space
- distance measure
- gaussian mixture
- parameter estimation
- np hard
- feature vectors
- multivariate normal
- objective function
- estimation error
- linear classifiers
- riemannian metric
- mixture model
- density estimation
- em algorithm
- riemannian manifolds
- probabilistic model
- bayesian networks
- image processing
- computer vision