Gaussian Process Probes (GPP) for Uncertainty-Aware Probing.
Zi WangAlexander KuJason BaldridgeTom GriffithsBeen KimPublished in: NeurIPS (2023)
Keyphrases
- sample size
- gaussian process
- hyperparameters
- model selection
- gaussian processes
- gaussian process regression
- approximate inference
- regression model
- covariance function
- gaussian process models
- sparse approximations
- marginal likelihood
- expectation propagation
- latent variables
- dynamical model
- machine learning
- worst case
- feature selection
- bayesian framework
- closed form
- sliding window
- data streams