Parameterizations for Gradient-based Markov Chain Monte Carlo on the Stiefel Manifold: A Comparative Study.
Masahiro TanakaPublished in: CACML (2024)
Keyphrases
- markov chain monte carlo
- euclidean space
- markov chain
- parameter estimation
- posterior distribution
- monte carlo
- bayesian inference
- posterior probability
- approximate inference
- generative model
- markov chain monte carlo sampling
- low dimensional
- particle filter
- data points
- shape analysis
- feature space
- high dimensional
- particle filtering
- simulated annealing
- latent variables
- belief propagation
- stereo matching
- probability distribution
- probabilistic model
- bayesian framework
- state space
- least squares
- hyperparameters
- prior knowledge
- data association
- model selection