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Relative deviation learning bounds and generalization with unbounded loss functions.
Corinna Cortes
Spencer Greenberg
Mehryar Mohri
Published in:
Ann. Math. Artif. Intell. (2019)
Keyphrases
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loss function
learning algorithm
learning problems
learning models
upper bound
boosting framework
pairwise
worst case
convex optimization
learning to rank algorithms
loss minimization
update rules
bayes rule
squared error
generalization bounds
supervised learning
lower bound