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Dec, 2022
稀疏变量独立性稳定学习
Stable Learning via Sparse Variable Independence
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Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin...
TL;DR
本研究提出了一种包含稀疏变量独立和样本加权选择的迭代算法SVI来解决协变量偏移泛化问题,在合成和实际数据集上的实验表明SVI可提高协变量偏移广义性能。
Abstract
The problem of
covariate-shift generalization
has attracted intensive research attention. Previous stable learning algorithms employ
sample reweighting
schemes to decorrelate the covariates when there is no expli
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