A Private and Computationally-Efficient Estimator for Unbounded Gaussians.
Gautam KamathArgyris MouzakisVikrant SinghalThomas SteinkeJonathan R. UllmanPublished in: CoRR (2021)
Keyphrases
- computationally efficient
- estimation algorithm
- linear combination
- least squares
- maximum likelihood
- mixture model
- privacy preserving
- maximum a posteriori
- private data
- computational complexity
- error estimation
- gaussian mixture model
- private information
- estimation error
- importance sampling
- mixture of gaussians
- probability density function
- gaussian kernels
- motion estimator
- maximum likelihood estimator
- gaussian mixture
- real time
- denoising
- regression function
- variance estimator