20152020

Research output per year

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Personal profile

Education/Academic qualification

Doctor of Philosophy, Statistics

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Research Output

  • 10 Article
  • 3 Conference contribution
  • 1 Working paper

A high-performance implementation of bayesian matrix factorization with limited communication

Vander Aa, T., Qin, X., Blomstedt, P., Wuyts, R., Verachtert, W. & Kaski, S., 1 Jan 2020, Computational Science – ICCS 2020 - 20th International Conference, Proceedings. Krzhizhanovskaya, V. V., Závodszky, G., Lees, M. H., Sloot, P. M. A., Sloot, P. M. A., Sloot, P. M. A., Dongarra, J. J., Brissos, S. & Teixeira, J. (eds.). SPRINGER , p. 3-16 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12142 LNCS).

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

Open Access
  • Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data

    Vehtari, A., Gelman, A., Sivula, T., Jylänki, P., Tran, D., Sahai, S., Blomstedt, P., Cunningham, J. P., Schiminovich, D. & Robert, C. P., 2020, In : Journal of Machine Learning Research. 21, p. 1-53

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data

    Vehtari, A., Gelman, A., Sivula, T., Jylanki, P., Tran, D., Sahai, S., Blomstedt, P., Cunningham, J. P., Schiminovich, D. & Robert, C. P., 2020, In : Journal of Machine Learning Research. 21, p. 1-53 53 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
    57 Downloads (Pure)

    Distributed Bayesian matrix factorization with limited communication

    Qin, X., Blomstedt, P., Leppäaho, E., Parviainen, P. & Kaski, S., 1 Jan 2019, In : Machine Learning. p. 1-26

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 2 Citations (Scopus)
    105 Downloads (Pure)

    Embarrassingly parallel MCMC using deep invertible transformations

    Mesquita, D., Blomstedt, P. & Kaski, S., 2019, 35th Conference on Uncertainty in Artificial Intelligence (UAI 2019) . AUAI Press

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

    Open Access
  • Activities

    • 5 Reviewer of conference article
    • 4 Participant of a conference, workshop, session or tutorial
    • 2 Reviewer of scientific journal
    • 1 Conference presentation

    The 3rd International workshop on biomedical informatics with optimization and machine learning

    Paul Blomstedt (Member)
    13 Jul 2018

    Activity: Participating in or organising an event typesParticipant of a conference, workshop, session or tutorial

    Artificial Intelligence for Chemical Risk Assessment

    Paul Blomstedt (Member)
    4 Apr 20185 Apr 2018

    Activity: Participating in or organising an event typesParticipant of a conference, workshop, session or tutorial

    International Conference on Machine Learning (Event)

    Paul Blomstedt (Reviewer)
    2018 → …

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

    International Conference on Machine Learning

    Paul Blomstedt (Member)
    10 Jul 201815 Jul 2018

    Activity: Participating in or organising an event typesParticipant of a conference, workshop, session or tutorial

    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS (Event)

    Paul Blomstedt (Reviewer)
    2018 → …

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