Improving Gradient-guided Nested Sampling for Posterior Inference.
Pablo LemosNikolay MalkinWill HandleyYoshua BengioYashar HezavehLaurence Perreault LevasseurPublished in: CoRR (2023)
Keyphrases
- markov chain monte carlo
- metropolis hastings
- gibbs sampler
- posterior distribution
- markov chain
- sampling algorithm
- monte carlo
- posterior probability
- bayesian framework
- bayesian inference
- edge detection
- inference process
- probabilistic inference
- random sampling
- image processing
- gibbs sampling
- approximate inference
- belief networks
- generative model
- probability distribution
- importance sampling
- sampling methods
- gradient information
- sampled data
- gradient method
- proposal distribution
- gradient orientation
- data sets
- markov chain monte carlo methods