Large Scale Tensor Regression using Kernels and Variational Inference.
Robert HuGeoff K. NichollsDino SejdinovicPublished in: CoRR (2020)
Keyphrases
- variational inference
- gaussian process
- gaussian processes
- bayesian inference
- topic models
- regression model
- variational methods
- probabilistic graphical models
- mixture model
- posterior distribution
- closed form
- support vector
- latent dirichlet allocation
- probabilistic model
- model selection
- approximate inference
- exact inference
- higher order
- exponential family
- cross validation
- parameter estimation
- graphical models
- dimensionality reduction
- em algorithm
- multiple kernel learning
- semi supervised