Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes.
Peter D. GrünwaldNishant A. MehtaPublished in: J. Mach. Learn. Res. (2020)
Keyphrases
- loss function
- bayes rule
- convex loss functions
- risk minimization
- support vector
- special case
- logistic regression
- loss minimization
- learning to rank
- pairwise
- bregman divergences
- boosting algorithms
- decision trees
- reproducing kernel hilbert space
- learning theory
- information theoretic
- cross validation
- sample size
- machine learning