Batch Inverse-Variance Weighting: Deep Heteroscedastic Regression.
Vincent MaiWaleed KhamiesLiam PaullPublished in: CoRR (2021)
Keyphrases
- regression model
- linear regression
- weighting scheme
- support vector regression
- regression problems
- regression algorithm
- simple linear
- standard deviation
- regression method
- correlation coefficient
- covariance matrix
- genetic programming
- support vector
- polynomial regression
- square loss
- regression function
- kernel regression
- locally weighted
- partial least squares
- linear model
- linear discriminant analysis
- tf idf
- deep learning
- prediction error
- gaussian distribution
- batch processing
- ridge regression
- minimum variance
- model selection
- batch learning
- similarity measure
- aggregating algorithm
- information retrieval