Convergence Rates of Active Learning for Maximum Likelihood Estimation.
Kamalika ChaudhuriSham M. KakadePraneeth NetrapalliSujay SanghaviPublished in: NIPS (2015)
Keyphrases
- maximum likelihood estimation
- convergence rate
- active learning
- conjugate gradient
- maximum likelihood
- em algorithm
- learning rate
- convergence speed
- multivariate gaussian
- global convergence
- parameter estimation
- probability distribution
- semi supervised
- gradient method
- primal dual
- learning algorithm
- expectation maximization
- density function
- training set
- levenberg marquardt
- optical flow
- supervised learning
- gaussian kernels
- number of iterations required
- machine learning
- cost sensitive