Keyphrases
- covariance matrix
- differentially private
- lower bound
- objective function
- covariance matrices
- estimation error
- upper bound
- sample size
- principal component analysis
- geometrical interpretation
- multivariate gaussian
- differential privacy
- mahalanobis distance
- gaussian mixture
- np hard
- high dimensional
- worst case
- correlation matrix
- optimal solution
- eigenvalues and eigenvectors
- sparse representation
- parameter estimation
- contingency tables