A Differentiable Loss Function for Learning Heuristics in A.

Leah Chrestien Tomás Pevný Antonín Komenda Stefan Edelkamp

Published in: CoRR (2022)

Keyphrases

loss function
learning models
boosting framework
stochastic gradient descent
support vector
pairwise
learning algorithm
reproducing kernel hilbert space
learning tasks
learning to rank
gradient boosting
online learning
least squares
objective function
decision trees
empirical risk
information retrieval