Recovering Latent Confounders from High-dimensional Proxy Variables.
Nathan MankovichHomer DurandEmiliano DiazGherardo VarandoGustau Camps-VallsPublished in: CoRR (2024)
Keyphrases
- high dimensional
- variable selection
- observational data
- sparse data
- parameter space
- dimensionality reduction
- multi dimensional
- high dimensionality
- relevant variables
- high dimensional problems
- latent variables
- nearest neighbor
- low dimensional
- dimension reduction
- causal discovery
- similarity search
- face recognition
- principal component analysis
- collaborative filtering
- data points
- objective function