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Måns Magnusson

20162020

Research output per year

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Personal profile

Education/Academic qualification

Doctor of Philosophy, Statistics

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Research Output

  • 3 Conference contribution
  • 1 Poster
  • 1 Article

Bayesian leave-one-out cross-validation for large data

Magnusson, M., Andersen, M., Jonasson, J. & Vehtari, A., 2019, 36th International Conference on Machine Learning, ICML 2019. 10 p. (Proceedings of Machine Learning Research; vol. 97).

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

Open Access
File
  • 5 Downloads (Pure)

    DOLDA: a regularized supervised topic model for high-dimensional multi-class regression

    Magnusson, M., Jonsson, L. & Villani, M., 2019, In : Computational Statistics. 27 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 83 Downloads (Pure)

    Interpretable Word Embeddings via Informative Priors

    Bodell, M. H., Arvidsson, M. & Magnusson, M., 2019, The 2019 Conference on Empirical Methods in Natural Language Processing And the 9th International Joint Conference on Natural Language Processing: Proceedings of System Demonstrations. p. 6324-6330

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

  • Bayesian loo for large data

    Magnusson, M., 12 Dec 2018.

    Research output: Contribution to conferencePosterScientific

    Bayesian loo for large data

    Magnusson, M., Vehtari, A. & Andersen, M., Dec 2018, (Accepted/In press) Symposium on Advances in Approximate Bayesian Inference. 5 p.

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

  • Projects

    Mining for meaning

    Vehtari, A. & Magnusson, M.

    01/03/202031/12/2024

    Project: Other external funding: Other foreign funding

    SRC WeStAc Magnusson

    Vehtari, A. & Magnusson, M.

    01/01/202029/02/2024

    Project: Other external funding: Other foreign funding

    Computational methods for survival analysis

    Vehtari, A., Andersen, M., Dhaka, A., Siivola, E., Sivula, T., Säilynoja, T., Magnusson, M. & Paananen, T.

    01/09/201631/08/2020

    Project: Academy of Finland: Other research funding

    Text-as-Data in Statistics: Theory, Methods and Applications

    Magnusson, M.

    01/09/202031/08/2023

    Project: Academy of Finland: Other research funding

    Reliable Automated Bayesian Machine Learning

    Vehtari, A., Ghosh, K., Magnusson, M., Dhaka, A., Koistinen, O. & Pavone, F.

    01/01/201831/12/2019

    Project: Academy of Finland: Other research funding

    Prizes

    The Cramér prize

    Måns Magnusson (Recipient), 22 Mar 2019

    Prize: Award or honor granted for a specific work

  • Top 10% reviewer for NeurIPS 2018

    Måns Magnusson (Recipient), 2018

    Prize: Award or honor granted for a specific work

    Activities

    Storytel (External organisation)

    Måns Magnusson (Chair)
    14 Nov 2019 → …

    Activity: Membership types Regular membership of a society or network

    International Conference on Machine Learning (Event)

    Måns Magnusson (Reviewer)
    1 Mar 201931 Mar 2019

    Activity: Publication peer-review and editorial work typesReviewer of conference article

    Leave-One-Out Cross-Validation for Large Data

    Måns Magnusson (Speaker)
    27 May 2019

    Activity: Talk or presentation typesPublic or invited talk

    Probabilistic topic models and its use in modeling political discourse

    Måns Magnusson (Speaker)
    3 Feb 2019

    Activity: Talk or presentation typesPublic or invited talk

    Probabilistic Programming Problems with Prose (or Text)

    Måns Magnusson (Speaker)
    8 Feb 2019

    Activity: Talk or presentation typesPublic or invited talk