Debiased Machine Learning without Sample-Splitting for Stable Estimators.

Qizhao Chen Vasilis Syrgkanis Morgane Austern

Published in: NeurIPS (2022)

Keyphrases

machine learning
machine learning methods
variance estimator
computational intelligence
artificial intelligence
machine learning algorithms
knowledge acquisition
decision trees

learning tasks
feature selection
learning systems
data mining
randomly selected
learning algorithm
sample size
natural language processing

natural language
pattern recognition
computer science
text mining
inductive logic programming
machine learning approaches
support vector machine

evolutionary algorithm
text classification
reinforcement learning
kernel methods
supervised learning
learning problems
sample set