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Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments.
Alexey Poyarkov
Alexey Drutsa
Andrey Khalyavin
Gleb Gusev
Pavel Serdyukov
Published in:
KDD (2016)
Keyphrases
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variance reduction
decision trees
gradient estimation
monte carlo
regression model
random forests
sample size
machine learning
regression problems
naive bayes classifier
importance sampling
support vector
trade off
feature selection
objective function