Causal Inference for Personalized Treatment Effect Estimation for given Machine Learning Models.
Johannes RustSerge AutexierPublished in: ICMLA (2022)
Keyphrases
- machine learning models
- causal inference
- machine learning algorithms
- additive noise
- machine learning approaches
- discrete data
- spam filtering
- nonmonotonic reasoning
- causal models
- abductive reasoning
- machine learning
- predictive model
- importance sampling
- rare events
- hidden markov models
- genetic programming
- support vector machine