Consistent Kernel Mean Estimation for Functions of Random Variables.
Carl-Johann Simon-GabrielAdam ScibiorIlya O. TolstikhinBernhard SchölkopfPublished in: NIPS (2016)
Keyphrases
- random variables
- probability density
- graphical models
- probability distribution
- normal distribution
- bayesian networks
- latent variables
- conditional independence
- conditionally independent
- conditional distribution
- conditional probabilities
- stochastic optimization problems
- joint distribution
- joint probability distribution
- directed acyclic graph
- density estimation
- kernel function
- parameter estimation
- distribution function
- conditional probability distributions
- support vector
- markov property
- probabilistic model
- independent and identically distributed
- marginal distributions
- probabilistic inference
- failure rate
- probabilistic graphical models
- statistically independent
- stochastic processes
- maximum likelihood estimation
- feature space
- lead time