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Professor David Leslie

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  1. Published

    Learning in unknown reward games: application to sensor networks

    Chapman, A. C., Leslie, D. S., Rogers, A. & Jennings, N. R., 1/06/2014, In: The Computer Journal. 57, 6, p. 875-892 18 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Learning to rank under multinomial logit choice

    Grant, J. A. & Leslie, D. S., 30/10/2023, In: Journal of Machine Learning Research. 24, 260, p. 1-49 49 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

    Learning to Rank under Multinomial Logit Choice

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

    Research output: Contribution to Journal/Magazine › Journal article

  4. Published

    Mixed-strategy learning with continuous action sets

    Perkins, S., Mertikopoulos, P. & Leslie, D. S., 01/2017, In: IEEE Transactions on Automatic Control. 62, 1, p. 379-384 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Multi-rate Threshold FlipThem

    Leslie, D. S., Sherfield, C. L. & Smart, N. P., 12/08/2017, Computer Security – ESORICS 2017: Lecture Notes in Computer Science, vol 10493. Foley, S., Gollmann, D. & Snekkenes, E. (eds.). Springer, p. 174-190 17 p. (Lecture Notes in Computer Science; vol. 10493).

    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

    Nonparametric estimation of the distribution function in contingent valuation models

    Leslie, D. S., Kohn, R. & Fiebig, D. G., 1/09/2009, In: Bayesian Analysis. 4, 3, p. 573-598 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    On similarities between inference in game theory and machine learning

    Rezek, I., Leslie, D. S., Reece, S., Roberts, S. J., Rogers, A., Dash, R. K. & Jennings, N. R., 2008, In: Journal of Artificial Intelligence Research. 33, p. 259-283 24 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. 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

  10. Published

    Online Detection and Fuzzy Clustering of Anomalies in Non-Stationary Time Series

    He, C., Leslie, D. S. & Grant, J. A., 24/01/2024, In: Signals. 5, 1, p. 40-59 20 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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