Debiased Machine Learning without Sample-Splitting for Stable Estimators.
Qizhao ChenVasilis SyrgkanisMorgane AusternPublished in: CoRR (2022)
Keyphrases
- machine learning
- variance estimator
- machine learning algorithms
- small sample
- inductive logic programming
- pattern recognition
- sample size
- learning algorithm
- computer vision
- computational biology
- machine learning methods
- active learning
- learning systems
- knowledge representation
- knowledge discovery
- data mining
- artificial intelligence
- kernel methods
- natural language processing
- information extraction
- probabilistic model
- data analysis
- computer science
- decision trees
- supervised learning
- training data
- learning tasks
- feature selection
- unbiased estimator
- variance reduction
- supervised machine learning
- explanation based learning
- machine learning approaches
- statistical learning
- inductive learning
- bayesian networks
- natural language
- statistical methods
- model selection
- knowledge acquisition
- text classification
- text mining