The Causal-Neural Connection: Expressiveness, Learnability, and Inference.
Kevin XiaKai-Zhan LeeYoshua BengioElias BareinboimPublished in: NeurIPS (2021)
Keyphrases
- data mining
- causal relationships
- bayesian networks
- causal inference
- network architecture
- neural network
- causal theories
- learning algorithm
- machine learning
- probabilistic inference
- finite automata
- grammatical inference
- bio inspired
- belief networks
- dnf formulas
- causal reasoning
- efficient learning
- pac learning
- causal models
- boolean functions
- expressive power
- structure learning
- support vector
- inference engine
- neural model
- sufficient conditions
- bayesian inference
- causal networks
- associative memory