57 citations · 217 across the 32 of their papers we have counts for
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cs.LG2020★ 3 cited
Stable Prediction via Leveraging Seed Variable
Kun Kuang, Bo Li, Peng Cui +4
In this paper, we focus on the problem of stable prediction across unknown test data, where the test distribution is agnostic and might be totally different from the training one.…
cs.LG2020
Balance-Subsampled Stable Prediction
Kun Kuang, Hengtao Zhang, Fei Wu +2
In machine learning, it is commonly assumed that training and test data share the same population distribution. However, this assumption is often violated in practice because the s…
stat.ME2020★ 6 cited
Learning Decomposed Representation for Counterfactual Inference
Anpeng Wu, Kun Kuang, Junkun Yuan +5
The fundamental problem in treatment effect estimation from observational data is confounder identification and balancing. Most of the previous methods realized confounder balancin…