Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension.
Bruno LoureiroCédric GerbelotMaria RefinettiGabriele SicuroFlorent KrzakalaPublished in: ICML (2022)
Keyphrases
- high dimension
- bias variance
- bias variance decomposition
- trade off
- feature selection
- real valued
- base learners
- high dimensional
- ensemble methods
- low variance
- bias variance analysis
- small sample
- ensemble learning
- input space
- learning process
- feature space
- support vector machine
- base classifiers
- high dimensional data
- training data
- data sets
- nearest neighbor
- variance reduction
- training set
- generalization ability
- low dimensional
- random forests
- text mining
- image data
- support vector
- machine learning