Home > Research > Browse

Results for stat.ML

Publications & Outputs

  1. Reversible Jump PDMP Samplers for Variable Selection

    Chevallier, A., Fearnhead, P. & Sutton, M., 22/10/2020, In: arxiv.org.

    Research output: Contribution to journalJournal article

  2. Stein Variational Gaussian Processes

    Pinder, T., Nemeth, C. & Leslie, D., 25/09/2020, In: arXiv.

    Research output: Contribution to journalJournal articlepeer-review

  3. MUMBO: MUlti-task Max-value Bayesian Optimization

    Moss, H. B., Leslie, D. S. & Rayson, P., 14/09/2020, achine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Springer, p. 447-462 16 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  4. Learning to Rank under Multinomial Logit Choice

    Grant, J. A. & Leslie, D. S., 7/09/2020, In: arXiv.org.

    Research output: Contribution to journalJournal article

  5. On Thompson Sampling for Smoother-than-Lipschitz Bandits

    Grant, J. A. & Leslie, D. S., 26/08/2020, 23rd International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, p. 2612-2622 11 p. (Proceedings of Machine Learning Research; vol. 108).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  6. Filtered Poisson Process Bandit on a Continuum

    Grant, J. A. & Szechtman, R., 20/07/2020, In: arXiv.org.

    Research output: Contribution to journalJournal article

  7. BOSH: Bayesian Optimization by Sampling Hierarchically

    Moss, H. B., Leslie, D. S. & Rayson, P., 18/07/2020. 8 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paper

  8. Adaptive policies for perimeter surveillance problems

    Grant, J. A., Leslie, D. S., Glazebrook, K., Szechtman, R. & Letchford, A., 16/05/2020, In: European Journal of Operational Research. 283, 1, p. 265-278 14 p.

    Research output: Contribution to journalJournal articlepeer-review

  9. Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 31/03/2020, In: Journal of Machine Learning Research. 21, p. 1-40 40 p.

    Research output: Contribution to journalJournal articlepeer-review

  10. Pseudo-extended Markov chain Monte Carlo

    Nemeth, C., Lindsten, F., Filippone, M. & Hensman, J., 8/12/2019, p. 1-11. 11 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

  11. A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

    Gu, X., Angelov, P. P. & Soares, E. A., 25/11/2019, In: arXiv.

    Research output: Contribution to journalJournal article

More results »