The Optimal Approximation Factor in Density Estimation.
Olivier BousquetDaniel KaneShay MoranPublished in: COLT (2019)
Keyphrases
- density estimation
- kernel density estimates
- expectation propagation
- mixture model
- probability density function
- closed form
- mixture modeling
- probability density
- multivariate gaussian distribution
- density function
- outlier detection
- gaussian mixture model
- parzen window
- worst case
- exponential family
- kernel density estimation
- nonparametric density estimation
- databases
- computer vision
- information retrieval
- model selection
- nearest neighbor
- em algorithm