Non-asymptotic approximations of neural networks by Gaussian processes.
Ronen EldanDan MikulincerTselil SchrammPublished in: CoRR (2021)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- hyperparameters
- closed form
- covariance function
- multi task learning
- marginal likelihood
- preference learning
- multi task
- human pose estimation
- relevance vector machine
- upper bound
- worst case
- gaussian process models
- feature selection
- expectation propagation
- support vector