Fast Kronecker Inference in Gaussian Processes with non-Gaussian Likelihoods.
Seth R. FlaxmanAndrew Gordon WilsonDaniel B. NeillHannes NickischAlexander J. SmolaPublished in: ICML (2015)
Keyphrases
- gaussian processes
- covariance function
- dirichlet process
- gaussian process
- gaussian process regression
- non stationary
- multi task learning
- hyperparameters
- human pose estimation
- bayesian inference
- maximum likelihood
- expectation propagation
- multi task
- preference learning
- relevance vector machine
- gaussian process models
- data sets
- approximate inference
- high dimensional data
- bayesian networks
- feature selection
- machine learning