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cs.LG2026

Causal Inference for Sequential Settings under Interference and Latent Confounding

Phevos Paschalidis, Constantinos Daskalakis, Devavrat Shah

The paper proposes a method to estimate causal effects in sequential observational data where units influence each other and hidden factors affect outcomes, using an Ising model wi…