A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors.
Julianus PfeufferOliver SerangPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- bayesian inference
- expectation propagation
- variational approximation
- probabilistic model
- bayesian model
- gaussian convolution
- prior information
- hyperparameters
- variational inference
- continuous functions
- pairwise
- gibbs sampler
- weighted model counting
- hierarchical bayesian
- variational bayes
- probabilistic modeling
- statistical inference
- graphical models
- taylor series expansion
- data sets
- hidden variables
- particle filter
- objective function
- nonnegative matrix factorization
- approximation algorithms
- closed form
- expectation maximization
- reinforcement learning