Pruning a neural network using Bayesian inference.
Sunil MathewDaniel B. RowePublished in: CoRR (2023)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- hyperparameters
- prior information
- statistical inference
- search space
- artificial neural networks
- variational inference
- hierarchical bayesian
- bayesian model
- variational bayes
- hidden variables
- particle filter
- back propagation
- gibbs sampler
- expectation propagation
- markov chain monte carlo
- search algorithm
- bayesian models
- weighted model counting
- probabilistic modeling
- statistical models
- reinforcement learning