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stat.ML2026
Information-Theoretic Causal Bounds under Unmeasured Confounding
Yonghan Jung, Bogyeong Kang
We develop a data-driven information-theoretic framework for sharp partial identification of causal effects under unmeasured confounding. Existing approaches often rely on restrict…
stat.ML2025
Debiased Front-Door Learners for Heterogeneous Effects
Yonghan Jung
In observational settings where treatment and outcome share unmeasured confounders but an observed mediator remains unconfounded, the front-door (FD) adjustment identifies causal e…