Non-asymptotic approximations of neural networks by Gaussian processes.
Ronen EldanDan MikulincerTselil SchrammPublished in: COLT (2021)
Keyphrases
- gaussian processes
- gaussian process
- gaussian process regression
- marginal likelihood
- covariance function
- hyperparameters
- expectation propagation
- human pose estimation
- relevance vector machine
- multi task learning
- closed form
- preference learning
- multi task
- gaussian process models
- bayesian framework
- prior information
- incremental learning
- model selection