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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)extttcausalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery., , , , , and . CLeaR, volume 236 of Proceedings of Machine Learning Research, page 609-642. PMLR, (2024)Maximum Likelihood Estimates for Gaussian Mixtures Are Transcendental., , and . MACIS, volume 9582 of Lecture Notes in Computer Science, page 579-590. Springer, (2015)Identifiability in Continuous Lyapunov Models., , , , and . SIAM J. Matrix Anal. Appl., 44 (4): 1799-1821 (December 2023)Computing all roots of the likelihood equations of seemingly unrelated regressions.. J. Symb. Comput., 41 (2): 245-254 (2006)Algebraic tests of general Gaussian latent tree models., and . NeurIPS, page 6301-6310. (2018)Rank-Based Causal Discovery for Post-Nonlinear Models., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7849-7870. PMLR, (2023)Efficient computation of the Bergsma-Dassios sign covariance., , and . Comput. Stat., 31 (1): 315-328 (2016)Iterative Conditional Fitting for Gaussian Ancestral Graph Models., and . UAI, page 130-137. AUAI Press, (2004)