Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more.
Elad TolochinskyIbrahim JubranDan FeldmanPublished in: ICML (2022)
Keyphrases
- logistic regression
- support vector
- linear svm
- learning algorithm
- decision trees
- learning process
- credit scoring
- predictive power
- loss function
- learning tasks
- odds ratio
- logistic regression models
- data sets
- chi square
- naive bayes
- supervised learning
- conditional likelihood
- machine learning
- inductive learning
- linear support vector machines
- active learning
- predictor variables