Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study.
Philipp BachOliver SchachtVictor ChernozhukovSven KlaassenMartin SpindlerPublished in: CLeaR (2024)
Keyphrases
- simulation study
- causal inference
- machine learning
- additive noise
- abductive reasoning
- causal models
- model selection
- discrete data
- nonmonotonic reasoning
- monte carlo
- natural language processing
- learning algorithm
- data mining
- rare events
- knowledge discovery
- active learning
- decision trees
- inference rules
- graphical models
- hyperparameters
- gaussian process
- text mining
- support vector machine
- high dimensional
- observational data
- knowledge base