Lazy Estimation of Variable Importance for Large Neural Networks.
Yue GaoAbby StevensGarvesh RaskuttiRebecca WillettPublished in: ICML (2022)
Keyphrases
- neural network
- pattern recognition
- neural network model
- back propagation
- fuzzy logic
- artificial neural networks
- genetic algorithm
- estimation process
- fault diagnosis
- estimation accuracy
- maximum likelihood estimation
- robust estimation
- multiply sectioned bayesian networks
- computer vision
- feedforward neural networks
- continuous variables
- relative importance
- estimation algorithm
- training process
- neural nets
- real time
- probability distribution
- control system