Debiased Machine Learning without Sample-Splitting for Stable Estimators.
Qizhao ChenVasilis SyrgkanisMorgane AusternPublished 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