Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration.
Hong Ye TanSubhadip MukherjeeJunqi TangCarola-Bibiane SchönliebPublished in: Trans. Mach. Learn. Res. (2024)
Keyphrases
- data driven
- boosting framework
- learning algorithm
- feature selection
- ensemble methods
- machine learning
- ensemble learning
- privacy preserving
- database
- weak learners
- artificial intelligence
- weak classifiers
- real time
- combining multiple
- base classifiers
- active learning
- real world
- data sets
- text classification
- lower bound
- video sequences
- decision trees
- gradient boosting
- privacy preserving association rule mining