Practical Hilbert space approximate Bayesian Gaussian processes for probabilistic programming

Gabriel Riutort-Mayol, Paul Christian Bürkner, Michael R. Andersen, Arno Solin, Aki Vehtari*

*Corresponding author for this work

Research output: Contribution to journal › Article › Scientific › peer-review

14 Citations (Scopus)
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    Reliable Automated Bayesian Machine Learning

    Vehtari, A. (Principal investigator), Ghosh, K. (Project Member), Dhaka, A. (Project Member), Pavone, F. (Project Member), Koistinen, O.-P. (Project Member) & Magnusson, M. (Project Member)

    01/01/2018 → 31/12/2019

    Project: Academy of Finland: Other research funding

  • Sequential inference for real-time probabilistic modelling

    Solin, A. (Principal investigator)

    01/09/2017 → 31/08/2020

    Project: Academy of Finland: Other research funding

  • Computational methods for survival analysis

    Vehtari, A. (Principal investigator), Andersen, M. (Project Member), Siivola, E. (Project Member), Magnusson, M. (Project Member), Paananen, T. (Project Member), Säilynoja, T. (Project Member), Dhaka, A. (Project Member) & Sivula, T. (Project Member)

    01/09/2016 → 31/08/2020

    Project: Academy of Finland: Other research funding