Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression.
Youngsoo BaekSamuel BerchuckSayan MukherjeePublished in: NeurIPS (2023)
Keyphrases
- regression model
- feature space
- bayesian estimation
- support vector regression
- linear regression
- feature extraction
- support vector machine
- image features
- parameter estimation
- sparse bayesian learning
- neural network
- bayesian models
- regression problems
- gaussian processes
- posterior probability
- model selection
- markov chain
- maximum likelihood
- classification accuracy
- feature vectors
- support vector
- bayesian networks