On Lp-norm Robustness of Ensemble Decision Stumps and Trees.
Yihan WangHuan ZhangHongge ChenDuane S. BoningCho-Jui HsiehPublished in: ICML (2020)
Keyphrases
- decision stumps
- lp norm
- ensemble learning
- ensemble classifier
- base classifiers
- weak classifiers
- decision forest
- base learners
- special case
- ensemble methods
- learning algorithm
- decision trees
- multiple kernel learning
- imbalanced data
- support vector machine
- random forest
- random forests
- feature selection
- multi task
- convergence rate
- generalization ability
- machine learning methods
- prediction accuracy
- machine learning
- concept drift
- training data
- kernel methods
- benchmark datasets
- least squares
- multi class