Balance-Subsampled Stable Prediction Across Unknown Test Data

Published in ACM Transactions on Knowledge Discovery from Data (TKDD), 2021

Recommended citation: Kuang, Kun, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, and Aijun Zhang. "Balance-Subsampled Stable Prediction Across Unknown Test Data." ACM Transactions on Knowledge Discovery from Data (TKDD) 16, no. 3 (2021): 1-21. https://dl.acm.org/doi/abs/10.1145/3477052

This paper is about proposing a novel balance-subsampled stable prediction algorithm based on the theory of fractional factorial design to address sample selection bias.

Download paper here

Recommended citation:Kuang, Kun, Hengtao Zhang, Runze Wu, Fei Wu, Yueting Zhuang, and Aijun Zhang. (2021) “Balance-Subsampled Stable Prediction Across Unknown Test Data.” ACM Transactions on Knowledge Discovery from Data (TKDD).