Recovery of Sparse Probability Measures via Convex Programming.
Mert PilanciLaurent El GhaouiVenkat ChandrasekaranPublished in: NIPS (2012)
Keyphrases
- convex programming
- probability measures
- linear programming
- convex optimization
- interior point methods
- stochastic process
- metric space
- high dimensional
- primal dual
- kernel learning
- semidefinite programming
- probability measure
- conditional probabilities
- belief functions
- bayesian networks
- convex functions
- pairwise
- machine learning
- linear program
- feature space
- semi supervised