Causal Inference in Time Series via Supervised Learning.
Yoichi ChikaharaAkinori FujinoPublished in: IJCAI (2018)
Keyphrases
- causal inference
- supervised learning
- rare events
- additive noise
- abductive reasoning
- discrete data
- causal models
- nonmonotonic reasoning
- reinforcement learning
- non stationary
- machine learning
- learning algorithm
- active learning
- training data
- training set
- semi supervised
- importance sampling
- unlabeled data
- data sets
- data mining
- training samples
- natural language understanding
- labeled data
- graphical models
- observational data