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Nonparametric Reduced Rank Regression., , , and . NIPS, page 1637-1645. (2012)A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence., and . UAI, page 184-191. Morgan Kaufmann, (2003)Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental., , and . MACIS, volume 9582 of Lecture Notes in Computer Science, page 579-590. Springer, (2015)extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery., , , , , and . CLeaR, volume 236 of Proceedings of Machine Learning Research, page 609-642. PMLR, (2024)Definite Non-Ancestral Relations and Structure Learning., , and . CoRR, (2021)Discrete Chain Graph Models. Bernoulli, 15 (arXiv:0909.0843. IMS-BEJ-BEJ172): 736-753 (September 2009)Comments: Published in at http://dx.doi.org/10.3150/08-BEJ172 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm).Extended Bayesian Information Criteria for Gaussian Graphical Models., and . NIPS, page 604-612. Curran Associates, Inc., (2010)Interaction Models and Generalized Score Matching for Compositional Data., , and . LoG, volume 231 of Proceedings of Machine Learning Research, page 20. PMLR, (2023)Dual Likelihood for Causal Inference under Structure Uncertainty., and . CLeaR, volume 236 of Proceedings of Machine Learning Research, page 1-17. PMLR, (2024)Graphical Models for Non-Negative Data Using Generalized Score Matching., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 1781-1790. PMLR, (2018)