From Bayesian Inference to MCMC and Convex Optimisation in Hadamard Manifolds.
Salem SaidNicolas Le BihanJonathan H. MantonPublished in: GSI (2021)
Keyphrases
- bayesian inference
- convex optimisation
- markov chain monte carlo
- prior information
- probabilistic model
- hyperparameters
- expectation propagation
- variational bayes
- variational inference
- semi definite programming
- gibbs sampler
- posterior distribution
- markov networks
- hidden variables
- particle filter
- high dimensional
- data sets
- machine learning