Non-convex Bayesian Learning via Stochastic Gradient Markov Chain Monte Carlo.
Wei DengPublished in: CoRR (2023)
Keyphrases
- bayesian learning
- markov chain monte carlo
- posterior distribution
- parameter estimation
- probability distribution
- latent variables
- stochastic gradient descent
- importance sampling
- bayesian framework
- model selection
- posterior probability
- hyperparameters
- maximum a posteriori
- generative model
- gaussian distribution
- monte carlo
- bayesian inference
- markov chain
- approximate inference
- closed form
- feature space
- cross validation
- matrix factorization
- expectation maximization
- simulated annealing
- probabilistic model
- optical flow
- exponential family
- evolutionary algorithm