20032025

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  • 2022

    Learning Linear Non-Gaussian Polytree Models

    Tramontano, D., Monod, A. & Drton, M., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Association For Uncertainty in Artificial Intelligence (AUAI), p. 1960-1969 10 p. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Scopus citations
  • 2020

    Statistical Significance in High-dimensional Linear Mixed Models

    Lin, L., Drton, M. & Shojaie, A., 19 Oct 2020, FODS 2020 - Proceedings of the 2020 ACM-IMS Foundations of Data Science Conference. Association for Computing Machinery, Inc, p. 171-181 11 p. (FODS 2020 - Proceedings of the 2020 ACM-IMS Foundations of Data Science Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    2 Scopus citations
  • 2016

    Laplace approximation in high-dimensional Bayesian regression

    Barber, R. F., Drton, M. & Tan, K. M., 2016, Statistical Analysis for High-Dimensional Data - The Abel Symposium, 2014. Buhlmann, P., Glad, I. K., Langaas, M., Richardson, S., Frigessi, A. & Vannucci, M. (eds.). Springer Heidelberg, p. 15-36 22 p. (Abel Symposia; vol. 11).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    10 Scopus citations
  • Maximum likelihood estimates for gaussian mixtures are transcendental

    Améndola, C., Drton, M. & Sturmfels, B., 2016, Mathematical Aspects of Computer and Information Sciences - 6th International Conference, MACIS 2015, Revised Selected Papers. Kotsireas, I. S., Rump, S. M. & Yap, C. K. (eds.). Springer Verlag, p. 579-590 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9582).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    10 Scopus citations
  • 2012

    Nonparametric reduced rank regression

    Foygel, R., Horrell, M., Drton, M. & Lafferty, J., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 1628-1636 9 p. (Advances in Neural Information Processing Systems; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations
  • 2010

    Extended Bayesian information criteria for Gaussian graphical models

    Foygel, R. & Drton, M., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    688 Scopus citations
  • 2009

    Robust graphical modeling with t-distributions

    Finegold, M. A. & Drton, M., 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. AUAI Press, p. 169-176 8 p. (Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Scopus citations
  • 2008

    Iterative conditional fitting for discrete chain graph models

    Drton, M., 2008, COMPSTAT 2008 - Proceedings in Computational Statistics, 18th Symposium. Springer Berlin Heidelberg, p. 93-104 12 p. (COMPSTAT 2008 - Proceedings in Computational Statistics, 18th Symposium).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    3 Scopus citations