Rank regularization and Bayesian inference for tensor completion and extrapolation
Juan Andrés BazerqueGonzalo MateosGeorgios B. GiannakisPublished in: CoRR (2013)
Keyphrases
- bayesian inference
- prior information
- trace norm
- probabilistic model
- hyperparameters
- higher order
- bayesian model
- variational inference
- statistical inference
- variational bayes
- prior knowledge
- gibbs sampler
- hidden variables
- markov networks
- expectation propagation
- hierarchical bayesian
- markov chain monte carlo
- diffusion tensor
- bayesian models
- dimensionality reduction
- incomplete data
- multi task
- least squares
- mixture model