A new integral loss function for Bayesian optimization.
Emmanuel VázquezJulien BectPublished in: CoRR (2014)
Keyphrases
- loss function
- risk minimization
- stochastic gradient descent
- pairwise
- loss minimization
- support vector
- learning to rank
- logistic regression
- empirical risk
- reproducing kernel hilbert space
- hinge loss
- boosting framework
- regularization term
- efficient optimization
- solution path
- boosting algorithms
- convex loss functions
- bayes rule
- decision trees
- coordinate descent method
- maximum likelihood
- optimization problems
- markov random field
- objective function
- bayesian networks