Structured Neural Networks for Density Estimation and Causal Inference.
Asic Q. ChenRuian ShiXiang GaoRicardo BaptistaRahul G. KrishnanPublished in: NeurIPS (2023)
Keyphrases
- density estimation
- causal inference
- neural network
- additive noise
- mixture model
- causal models
- abductive reasoning
- nonmonotonic reasoning
- discrete data
- pattern recognition
- outlier detection
- probability density function
- gaussian mixture model
- em algorithm
- similarity measure
- data sets
- information retrieval
- machine learning methods
- random variables
- maximum likelihood
- feature extraction