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cs.LG2022★ 2 cited
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
Jingfeng Wu, Difan Zou, Vladimir Braverman +2
We study linear regression under covariate shift, where the marginal distribution over the input covariates differs in the source and the target domains, while the conditional dist…
cs.LG2022
Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
Difan Zou, Jingfeng Wu, Vladimir Braverman +2
Stochastic gradient descent (SGD) has achieved great success due to its superior performance in both optimization and generalization. Most of existing generalization analyses are m…