Posterior Annealing: Fast Calibrated Uncertainty for Regression.
Uddeshya UpadhyayJae-Myung KimCordelia SchmidBernhard SchölkopfZeynep AkataPublished in: CoRR (2023)
Keyphrases
- regression model
- probability distribution
- gaussian process
- simulated annealing
- regression analysis
- uncertain data
- linear regression
- genetic algorithm
- model averaging
- posterior distribution
- posterior probability
- model selection
- data sets
- markov random field
- locally weighted
- decision trees
- regression algorithm
- regression problems
- simple linear
- aggregating algorithm
- ridge regression
- reproducing kernel hilbert space
- partial least squares
- expected utility
- decision theory
- gaussian processes
- least squares
- support vector regression
- latent variables