Mixture Proportion Estimation via Kernel Embeddings of Distributions.
Harish G. RamaswamyClayton ScottAmbuj TewariPublished in: ICML (2016)
Keyphrases
- exponential family
- gaussian densities
- heavy tailed
- heavy tailed distributions
- parzen window
- mixture model
- probability distribution
- mixture distributions
- dirichlet distribution
- gaussian distribution
- kernel function
- probability distribution function
- estimation algorithm
- hilbert space
- kernel density estimation
- maximum likelihood
- mixture distribution
- euclidean space
- density estimation
- feature space
- statistical distributions
- density estimates
- maximum likelihood estimates
- dimensionality reduction
- low dimensional
- expectation maximization
- probability density
- maximum likelihood estimation
- latent space
- kullback leibler divergence
- reproducing kernel hilbert space
- power law
- distance measure
- manifold learning
- probability density function
- random variables
- parameter estimation