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Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee.
Yassine Nemmour
Heiner Kremer
Bernhard Schölkopf
Jia-Jie Zhu
Published in:
CDC (2022)
Keyphrases
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robust optimization
chance constrained
stochastic programming
finite sample
mathematical programming
chance constraints
sample size
statistical learning theory
multistage
lot sizing
linear program
decision theory
uniform convergence
semidefinite programming
third party
feature vectors
error bounds
special case