A Finite Sample Theorem for Longitudinal Causal Inference with Machine Learning: Long Term, Dynamic, and Mediated Effects.
Rahul SinghPublished in: CoRR (2021)
Keyphrases
- causal inference
- finite sample
- machine learning
- statistical learning theory
- sample size
- uniform convergence
- causal models
- nearest neighbor
- learning algorithm
- model selection
- pattern recognition
- feature extraction
- rough sets
- text classification
- support vector machine
- machine learning algorithms
- data points
- learning problems
- error bounds
- active learning
- lower bound
- discrete data
- training data