The paper of Vineet and Allen on “Evaluation of Causal Structure Learning Methods on Mixed Data Types” was accepted for oral presentation in the 2018 ACM SIGKDD Workshop on Causal Discovery. In this paper, we perform a thorough comparison of multiple methods for causal graph learning over mixed data types and at various sample sizes. This can become the reference guide for which algorithms to use on which datasets. Congratulations Vineet and Allen!
UPDATE – August 9, 2018: The paper is now published in the journal Proceedings of Machine Learning Research. Supplementary Material: here.