Leaving the Nest: Going Beyond Local Loss Functions for Predict-Then-Optimize.
Sanket ShahAndrew PerraultBryan WilderMilind TambePublished in: CoRR (2023)
Keyphrases
- update rules
- loss function
- pairwise
- support vector
- logistic regression
- learning to rank
- loss minimization
- boosting framework
- squared error
- risk minimization
- hinge loss
- reproducing kernel hilbert space
- convex loss functions
- learning models
- objective function
- empirical risk
- step size
- learning algorithm
- graphical models
- bayesian networks