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Professor David Leslie

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  1. Chapter
  2. Published

    Diversity as a Response to User Preference Uncertainty

    Edwards, J. A. & Leslie, D. S., 04/2018, Statistical Data Science. Adams, N. & Cohen, E. (eds.). World Scientific, p. 55-68 14 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  3. Conference contribution/Paper
  4. Published

    FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research

    Eide, S., Frigessi, A., Jenssen, H., Leslie, D., Rishaug, J. & Verrewaere, S., 13/09/2021, RecSys '21: Fifteenth ACM Conference on Recommender Systems. New York: ACM, p. 556-558 3 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    BOSS: Bayesian Optimization over String Spaces

    Moss, H., Beck, D., Gonzalez, J., Leslie, D. & Rayson, P., 1/12/2020, Advances in Neural Information Processing Systems. 2020 ed. MIT Press

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    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/ISSN › Conference contribution/Paper › peer-review

  7. Published

    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/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Robust Functional Regression for Outlier Detection

    Hullait, H., Leslie, D. S., Pavlidis, N. G. & King, S., 23/01/2020, Advanced Analytics and Learning on Temporal Data: 4th ECML PKDD Workshop, AALTD 2019, Würzburg, Germany, September 20, 2019, Revised Selected Papers. Lemaire, V., Malinowski, S., Bagnall, A., Bondu, A., Guyet, T. & Tavenard, R. (eds.). Cham: Springer, p. 3-13 11 p. (Lecture Notes in Computer Science; vol. 11986).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  9. Published

    FIESTA: Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms

    Moss, H. B., Moore, A., Leslie, D. S. & Rayson, P., 30/07/2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg PA: Association for Computational Linguistics, p. 2920-2930 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    Adaptive sensor placement for continuous spaces

    Grant, J., Boukouvalas, A., Griffiths, R-R., Leslie, D., Vakili, S. & Munoz de Cote, E., 12/07/2019, Proceedings of the 36 th International Conference on Machine Learning, Long Beach, California, PMLR 97, 2019. Proceedings of Machine Learning Research, 9 p. (Proceedings of Machine Learning Research; vol. 97).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  11. Published

    Bandit learning in concave N-player games

    Bravo, M., Leslie, D. S. & Mertikopoulos, P., 2/12/2018, NeurIPS Proceedings. p. 5661-5671 11 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. E-pub ahead of print

    Using J-K-fold Cross Validation to Reduce Variance When Tuning NLP Models

    Moss, H., Leslie, D. S. & Rayson, P. E., 06/2018, (E-pub ahead of print) Proceedings of COLING 2018. Association for Computational Linguistics (ACL Anthology), p. 2978–2989 12 p. (Proceedings of COLING 2018).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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