Dr Erik Bodin

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External positions

The Alan Turing Institute

1 Jun 2021 → …

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  • Black-box density function estimation using recursive partitioning

    Bodin, E., Dai, Z., Campbell, N. D. F. & Ek, C. H., 24 Jul 2021, Proceedings of the 38th International Conference on Machine Learning, PMLR. ML Research Press, Vol. 139. p. 1015-1025 (Proceedings of Machine Learning Research; vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
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    4 Downloads (Pure)
  • Modulating Surrogates for Bayesian Optimization

    Bodin, E., Kaiser, M., Kazlauskaite, I., Dai, Z., bath, U. & Ek, C. H., 13 Jul 2020, 37th International Conference on Machine Learning, ICML 2020. ML Research Press, Vol. 119. p. 947-956 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
    3 Downloads (Pure)
  • Compositional uncertainty in deep Gaussian processes

    Ustyuzhaninov, I., Kazlauskaite, I., Kaiser, M., Bodin, E., Campbell, N. D. F. & Ek, C. H., 6 Aug 2020, Proceedings of UAI 2020: Conference on Uncertainty in Artificial Intelligence, 3-6 August 2020, Virtual. ML Research Press, p. 480-489 9 p. (Proceedings of Machine Learning Research; vol. 124).

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
    File
    2 Downloads (Pure)