Learning Rate Free Bayesian Inference in Constrained Domains.
Louis SharrockLester MackeyChristopher NemethPublished in: NeurIPS (2023)
Keyphrases
- bayesian inference
- learning rate
- learning algorithm
- probabilistic model
- convergence rate
- prior information
- bayesian model
- convergence speed
- hyperparameters
- multilayer neural networks
- variational inference
- adaptive learning rate
- particle filter
- weight vector
- variational bayes
- statistical inference
- convergence theorem
- expectation propagation
- hierarchical bayesian
- gaussian process
- rapid convergence
- state space
- gibbs sampler
- data mining