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The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift.
Jingfeng Wu
Difan Zou
Vladimir Braverman
Quanquan Gu
Sham M. Kakade
Published in:
NeurIPS (2022)
Keyphrases
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linear regression
covariate shift
least squares
regression methods
model selection
domain adaptation
locally weighted
active learning
nonlinear regression
ridge regression
regression model
regression method
semi supervised learning
data generation
training and test data
learning problems
classification accuracy