Machine Learning for Variance Reduction in Online Experiments.

Yongyi Guo Dominic Coey Mikael Konutgan Wenting Li Chris Schoener Matt Goldman

Published in: NeurIPS (2021)

Keyphrases

variance reduction
machine learning
gradient estimation
sample size
monte carlo
machine learning methods
text mining
quasi monte carlo
data mining
learning algorithm
upper bound
confidence intervals
importance sampling
random numbers