A causal bandit approach to learning good atomic interventions in presence of unobserved confounders - researchr publication authors

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Aurghya Maiti, Vineet Nair, Gaurav Sinha. A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. In James Cussens, Kun Zhang 0001, editors, Uncertainty in Artificial Intelligence, Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, UAI 2022, 1-5 August 2022, Eindhoven, The Netherlands. Volume 180 of Proceedings of Machine Learning Research, pages 1328-1338, PMLR, 2022. [doi]

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