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Deconditional Gaussian Process

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TOOL · CL_95923 · Jun 17 · 04:00

New framework enhances causal inference with reliable uncertainty quantification

Researchers have developed a new framework called Deconditional Gaussian Process (DGP) to improve causal inference methods, specifically instrumental variable (IV) and proximal causal learning (Proxy). This framework ad…

New framework enhances causal inference with reliable uncertainty quantification