Distributionally Robust Optimization and Generalization in Kernel Methods.

Matthew Staib Stefanie Jegelka

Published in: CoRR (2019)

Keyphrases

robust optimization
kernel methods
kernel matrix
stochastic programming
kernel function
semidefinite programming
support vector
learning problems
mathematical programming
machine learning
support vector machine
feature space
learning tasks
lot sizing
data sets
multiple kernel learning
decision theory