Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities.
Timothy CarpenterIlias DiakonikolasAnastasios SidiropoulosAlistair StewartPublished in: COLT (2018)
Keyphrases
- maximum likelihood estimation
- multivariate gaussian
- probability density
- sample complexity bounds
- average case
- sample complexity
- probability distribution
- maximum likelihood
- em algorithm
- parameter estimation
- probability density function
- density function
- expectation maximization
- covering numbers
- mixture of gaussians
- partially observable markov decision processes
- special case
- upper bound
- worst case
- active learning
- multi class
- uniform distribution
- regression model
- supervised learning
- lower bound
- uniform convergence
- theoretical analysis
- mixture model
- model selection