Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates.
Louis SharrockChristopher NemethPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- learning rate
- gibbs sampler
- markov chain monte carlo
- probabilistic model
- convergence rate
- learning algorithm
- gaussian kernels
- covering numbers
- uniform convergence
- prior information
- hyperparameters
- convergence speed
- particle filter
- markov networks
- monte carlo
- data sets
- expectation propagation
- sample size
- least squares
- evolutionary algorithm
- vc dimension
- pairwise
- bayesian networks
- machine learning