Optimal Mean Estimation without a Variance.

Yeshwanth Cherapanamjeri Nilesh Tripuraneni Peter L. Bartlett Michael I. Jordan

Published in: CoRR (2020)

Keyphrases

estimation error
conditional expectation
dynamic programming
standard deviation
bayesian networks
real time
closed form
robust estimation
estimation process
data sets
information retrieval
decision trees
multiscale
feature space
special case
correlation coefficient
machine learning
optimal design
minimum variance