Subspace Embeddings and \(\ell_p\)-Regression Using Exponential Random Variables.
David P. WoodruffQin ZhangPublished in: COLT (2013)
Keyphrases
- random variables
- hilbert space
- low dimensional
- dimensionality reduction
- high dimensional data
- graphical models
- reproducing kernel hilbert space
- probability distribution
- regression model
- high dimensional
- euclidean space
- bayesian networks
- joint distribution
- stochastic optimization problems
- statistically independent
- latent variables
- sparse representation
- conditional probabilities
- principal component analysis
- distribution function
- conditional independence
- manifold learning
- real valued
- vector space
- probability density
- model selection
- normal distribution
- directed acyclic graph
- feature space
- lead time
- continuous variables
- conditionally independent
- marginal distributions
- data points
- gaussian processes
- failure rate
- independent and identically distributed
- support vector
- conditional distributions
- joint probability distribution
- probabilistic inference
- random vectors
- feature selection