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  • Joints in Random Forests

    Correia, A., Peharz, R. & de Campos, C. P., 2020, Advances in Neural Information Processing Systems. Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M. F. & Lin, H. (eds.). Curran Associates, p. 11404-11415 12 p. (Advances in Neural Information Processing Systems; no. 33).

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

    Open Access
    6 Citations (Scopus)
  • Joints in Random Forests

    Correia, A. H. C., Peharz, R. & Campos, C. P. D., 2020. 12 p.

    Research output: Contribution to conferencePaperAcademic

    Open Access
    File
    33 Downloads (Pure)
  • On Pruning for Score-Based Bayesian Network Structure Learning

    Correia, A. H. C., Cussens, J. & de Campos, C. P., 2020, In: Proceedings of Machine Learning Research. 108, p. 2709-2718

    Research output: Contribution to journalConference articlepeer-review

    Open Access
    File
    39 Downloads (Pure)
  • Towards Robust Classification with Deep Generative Forests

    Correia, A. H. C., Peharz, R. & Campos, C. D., 11 Jul 2020, ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning.

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

    File
    22 Downloads (Pure)
  • An experimental study of prior dependence in Bayesian network structure learning

    Correia, A. H. C., de Campos, C. P. & van der Gaag, L. C., 2019, Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications. De Bock, J., de Campos, C. P., de Cooman, G., Quaeghebeur, E. & Wheeler, G. (eds.). PMLR, p. 78-81 4 p. (Proceedings of Machine Learning Research; vol. 103).

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

    Open Access