Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
Emanuel SommerLisa WimmerTheodore PapamarkouLudwig BothmannBernd BischlDavid RügamerPublished in: CoRR (2024)
Keyphrases
- neural network
- bayesian networks
- bayesian inference
- pattern recognition
- fuzzy logic
- data driven
- markov chain monte carlo
- machine learning
- bayesian model selection
- bayesian analysis
- bayesian models
- bayesian model
- belief networks
- artificial neural networks
- neural nets
- probabilistic inference
- back propagation
- statistical inference
- parameter estimation
- posterior probability
- sample size
- training process
- bayesian learning
- sufficient conditions
- maximum likelihood