AINeutralarXiv – CS AI · 9h ago6/10
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BGM-IV: an AI-powered Bayesian generative modeling approach for instrumental variable analysis
Researchers introduce BGM-IV, a Bayesian generative modeling framework that improves instrumental variable regression for causal inference by operating in a structured latent space rather than observed feature space. The method outperforms existing approaches in high-dimensional covariate settings while remaining competitive in classical low-dimensional scenarios, addressing a key limitation in nonlinear causal estimation.