Causal Inference with Noisy and Missing Covariates via Matrix Factorization.
Nathan KallusXiaojie MaoMadeleine UdellPublished in: CoRR (2018)
Keyphrases
- matrix factorization
- causal inference
- missing data
- incomplete data
- missing values
- low rank
- additive noise
- causal models
- discrete data
- abductive reasoning
- collaborative filtering
- nonmonotonic reasoning
- factorization methods
- regression model
- sample size
- recommender systems
- rare events
- observational data
- nonnegative matrix factorization
- inference rules
- noisy images
- random variables
- denoising