AI RESEARCH
CAETC: Causal Autoencoding and Treatment Conditioning for Counterfactual Estimation over Time
arXiv CS.LG
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ArXi:2603.11565v1 Announce Type: new Counterfactual estimation over time is important in various applications, such as personalized medicine. However, time-dependent confounding bias in observational data still poses a significant challenge in achieving accurate and efficient estimation. We