Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize.

Sanket Shah Bryan Wilder Andrew Perrault Milind Tambe

Published in: AAAI (2024)

Keyphrases

loss function
pairwise
support vector
squared error
empirical risk
learning to rank
logistic regression
loss minimization
risk minimization
learning models
reproducing kernel hilbert space
boosting framework
update rules
machine learning
hinge loss
bregman divergences
web search
multi class
convex loss functions