Recovering Distributions from Gaussian RKHS Embeddings.
Motonobu KanagawaKenji FukumizuPublished in: AISTATS (2014)
Keyphrases
- gaussian distribution
- heavy tailed
- gaussian model
- covariance matrices
- normal distribution
- reproducing kernel hilbert space
- gaussian densities
- marginal distributions
- poisson distribution
- probability distribution
- vector space
- mixture distributions
- mixture distribution
- statistically independent
- independent and identically distributed
- low dimensional
- random projections
- hilbert space
- random variables
- maximum likelihood
- euclidean space
- dimensionality reduction
- class conditional
- generalized gaussian
- manifold learning
- kernel methods
- loss function
- reproducing kernel
- high dimensional
- latent space
- gaussian mixture
- density estimation
- covariance matrix
- gaussian mixture model
- sparse representation
- distance measure
- support vector