Gaussian process nonparametric tensor estimator and its minimax optimality.
Heishiro KanagawaTaiji SuzukiHayato KobayashiNobuyuki ShimizuYukihiro TagamiPublished in: ICML (2016)
Keyphrases
- gaussian process
- bayesian modeling
- gaussian process regression
- gaussian processes
- bayesian framework
- hyperparameters
- regression model
- model selection
- gaussian process classification
- maximum a posteriori
- maximum likelihood
- higher order
- gaussian process models
- covariance function
- approximate inference
- latent variables
- least squares
- semi supervised
- sparse approximations
- expectation propagation
- optimal solution
- dirichlet process
- marginal likelihood
- worst case
- em algorithm
- density estimation
- signal to noise ratio
- training data