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cs.LG2026
CAFE: Counterfactual Prediction via Fast Posterior Estimation
Xinyan Han, Xiaoyu Lin, Hao Zou +3
Counterfactual prediction estimates an individual's outcome under an alternative intervention given their factual observations. Such outcomes are generally not identifiable from ob…
cs.LG2026
Breaking the Quality-Privacy Tradeoff in Tabular Data Generation via In-Context Learning
Xinyan Han, Yan Lu, Xiaoyu Lin +5
Tabular data synthesis aims to generate high-quality data while preserving privacy. However, we find that existing tabular generative models exhibit a clear tradeoff in the small-d…
cs.LG2025★ 3 cited
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence
Xingxuan Zhang, Gang Ren, Han Yu +35
We argue that progress toward general intelligence requires complementary foundation models grounded in language, the physical world, and structured data. This report presents Limi…