Measuring the sensitivity of Gaussian processes to kernel choice.
William T. StephensonSoumya GhoshTin D. NguyenMikhail YurochkinSameer K. DeshpandeTamara BroderickPublished in: CoRR (2021)
Keyphrases
- gaussian processes
- gaussian process
- kernel parameters
- gaussian process regression
- multi task learning
- covariance function
- graph kernels
- human pose estimation
- relevance vector machine
- hyperparameters
- support vector
- preference learning
- multi task
- gaussian process models
- model selection
- markov random field
- prior knowledge
- pairwise