Learning Rate Free Bayesian Inference in Constrained Domains.
Louis SharrockLester MackeyChristopher NemethPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- learning rate
- convergence rate
- learning algorithm
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- variational inference
- variational bayes
- rapid convergence
- statistical inference
- adaptive learning rate
- convergence speed
- hierarchical bayesian
- multilayer neural networks
- gibbs sampler
- weight vector
- machine learning
- expectation propagation
- data mining
- latent variables
- feature vectors
- training data
- convergence theorem
- decision trees
- delta bar delta