Mathias Drton
Orcid: 0000-0001-5614-3025
According to our database1,
Mathias Drton
authored at least 32 papers
between 2003 and 2023.
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Bibliography
2023
SIAM J. Matrix Anal. Appl., December, 2023
IEEE J. Sel. Areas Inf. Theory, 2023
IEEE J. Sel. Areas Inf. Theory, 2023
causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Conference on Causal Learning and Reasoning, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Graphical Representations for Algebraic Constraints of Linear Structural Equations Models.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
2021
CorDiffViz: an R package for visualizing multi-omics differential correlation networks.
BMC Bioinform., 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the FODS '20: ACM-IMS Foundations of Data Science Conference, 2020
2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2016
2015
Proceedings of the Mathematical Aspects of Computer and Information Sciences, 2015
2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2010
SIAM J. Matrix Anal. Appl., 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2009
Computing Maximum Likelihood Estimates in Recursive Linear Models with Correlated Errors.
J. Mach. Learn. Res., 2009
2008
J. Mach. Learn. Res., 2008
2006
J. Symb. Comput., 2006
2004
Proceedings of the UAI '04, 2004
2003
A New Algorithm for Maximum Likelihood Estimation in Gaussian Graphical Models for Marginal Independence.
Proceedings of the UAI '03, 2003