On the sample complexity of parameter estimation in logistic regression with normal design.
Daniel HsuArya MazumdarPublished in: COLT (2024)
Keyphrases
- logistic regression
- parameter estimation
- model selection
- decision trees
- maximum likelihood
- em algorithm
- least squares
- support vector
- markov random field
- random fields
- linear support vector machines
- credit scoring
- loss function
- naive bayes
- parameter estimation algorithm
- statistical models
- expectation maximization
- approximate inference
- parameter estimates
- logistic regression models
- classification trees
- computer vision
- feature selection