Finite-sample performance guarantees for one-dimensional stochastic root finding.

Samuel Ehrlichman Shane G. Henderson

Published in: WSC (2007)

Keyphrases

finite sample
sample size
uniform convergence
statistical learning theory
nearest neighbor
error bounds
machine learning
data sets
special case
probabilistic model
support vector machine
upper bound
unsupervised learning
learning theory
generalization error
upper and lower bounds