Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise.
Jannik SchmittStefan RothPublished in: CoRR (2021)
Keyphrases
- variational inference
- neural network
- bayesian inference
- posterior distribution
- probabilistic graphical models
- topic models
- closed form
- probabilistic model
- latent dirichlet allocation
- gaussian process
- noise level
- random sampling
- markov chain monte carlo
- exponential family
- noise reduction
- variational methods
- hyperparameters
- graphical models
- exact inference
- latent variables
- missing data
- mixture model
- median filter
- sampling algorithm
- active learning
- factor graphs
- feature selection