Collapsed Variational Bounds for Bayesian Neural Networks.
Marcin TomczakSiddharth SwaroopAndrew Y. K. FoongRichard E. TurnerPublished in: NeurIPS (2021)
Keyphrases
- neural network
- pac bayesian
- lower bound
- pattern recognition
- upper bound
- fuzzy logic
- artificial neural networks
- image segmentation
- feed forward
- upper and lower bounds
- maximum likelihood
- neural network model
- bayesian inference
- bayesian learning
- worst case
- global exponential stability
- gaussian processes
- variational framework
- variational methods
- bayesian networks
- lower and upper bounds
- decision theory
- neural nets
- optical flow
- self organizing maps
- genetic algorithm
- methods in computer vision
- bayesian decision
- bayesian methods
- optical flow computation
- fuzzy systems
- radial basis function
- fault diagnosis
- sufficient conditions