(De-)Randomized Smoothing for Decision Stump Ensembles.
Miklós Z. HorváthMark Niklas MüllerMarc FischerMartin T. VechevPublished in: NeurIPS (2022)
Keyphrases
- decision stumps
- decision forest
- random forests
- decision trees
- ensemble learning
- preprocessing step
- learning algorithm
- logistic regression
- ensemble classifier
- kernel machines
- imbalanced data
- base classifiers
- selection algorithm
- support vector machine
- weak classifiers
- multi class
- ensemble methods
- active learning
- leave one out cross validation