Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE).
Maurizio FilipponeRaphael EnglerPublished in: ICML (2015)
Keyphrases
- gaussian processes
- covariance function
- dirichlet process
- gaussian process
- gaussian process regression
- gaussian process models
- multi task learning
- bayesian networks
- multi task
- human pose estimation
- bayesian inference
- hyperparameters
- semi supervised
- multi class
- preference learning
- closed form
- bayesian framework
- text mining
- collaborative filtering
- expectation propagation
- nonlinear regression
- active learning