Projected Wasserstein gradient descent for high-dimensional Bayesian inference.
Yifei WangPeng ChenWuchen LiPublished in: CoRR (2021)
Keyphrases
- bayesian inference
- high dimensional
- probabilistic model
- low dimensional
- prior information
- bayesian model
- hyperparameters
- cost function
- variational inference
- dimensionality reduction
- mumford shah functional
- statistical inference
- pointwise
- weighted model counting
- gibbs sampler
- variational bayes
- bayesian models
- hierarchical bayesian
- probabilistic modeling
- prior distribution
- particle filter
- expectation propagation
- feature space
- latent variables
- parameter space
- generative model
- variational approximation
- bayesian networks