Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates.
Louis SharrockChristopher NemethPublished in: ICML (2023)
Keyphrases
- bayesian inference
- learning rate
- gibbs sampler
- markov chain monte carlo
- convergence rate
- probabilistic model
- learning algorithm
- prior information
- uniform convergence
- hyperparameters
- markov networks
- covering numbers
- gaussian kernels
- convergence speed
- particle filter
- machine learning
- model selection
- multi objective
- support vector
- objective function