On differentially private low rank approximation.
Michael KapralovKunal TalwarPublished in: SODA (2013)
Keyphrases
- differentially private
- low rank approximation
- singular value decomposition
- low rank
- subspace learning
- differential privacy
- spectral clustering
- kernel matrix
- adjacency matrix
- data dependent
- iterative algorithms
- latent semantic indexing
- reconstruction error
- nonnegative matrix factorization
- dimensionality reduction
- search engine
- dimension reduction
- face recognition
- social networks