Convergence Rates of Active Learning for Maximum Likelihood Estimation.
Kamalika ChaudhuriSham M. KakadePraneeth NetrapalliSujay SanghaviPublished in: CoRR (2015)
Keyphrases
- maximum likelihood estimation
- convergence rate
- active learning
- conjugate gradient
- maximum likelihood
- learning rate
- em algorithm
- convergence speed
- parameter estimation
- probability distribution
- learning algorithm
- global convergence
- expectation maximization
- multivariate gaussian
- semi supervised
- machine learning
- supervised learning
- primal dual
- labeled data
- density function
- transfer learning
- training set
- gradient method
- mixture model
- principal component analysis
- gaussian mixture model
- pairwise
- feature space
- image segmentation