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Professor David Leslie

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  1. 2020
  2. Published

    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

  3. 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

  4. Published

    Best-response Dynamics in Zero-sum Stochastic Games

    Leslie, D., Perkins, S. & Xu, Z., 1/09/2020, In: Journal of Economic Theory. 189, 31 p., 105095.

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

  5. 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

  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

    Stein Variational Gaussian Processes

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

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

  8. 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

  9. 2021
  10. Published

    The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord

    Blair, G., Bassett, R., Bastin, L., Beevers, L., Borrajo Garcia, M., Brown, M., Dance, S., Dionescu, A., Edwards, L., Ferrario, M. A., Fraser, R., Fraser, H., Gardner, S., Henrys, P. A., Hey, T., Homann, S., Huijbers, C., Hutchison, J., Jonathan, P., Lamb, R., & 21 othersLaurie, S., Leeson, A., Leslie, D., McMillan, M., Nundloll, V., Oyebamiji, O., Phillipson, J., Pope, V., Prudden, R., Reis, S., Salama, M., Samreen, F., Sejdinovic, D., Simm, W., Street, R., Thornton, L., Towe, R., Vande Hey, J. D., Vieno, M., Waller, J. & Watkins, J., 8/01/2021, In: Patterns. 2, 1, 8 p., 100156.

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

  11. Published

    A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK

    Pinder, T., Hollaway, M., Nemeth, C., Young, P. J. & Leslie, D., 22/04/2021, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  12. Published

    Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling

    Eide, S., Leslie, D. S. & Frigessi, A., 30/04/2021, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  13. Published

    Gaussian Processes on Hypergraphs

    Pinder, T., Turnbull, K., Nemeth, C. & Leslie, D., 3/06/2021.

    Research output: Working paper › Preprint

  14. Published

    Robust Function-on-Function Regression

    Hullait, H., Leslie, D., Pavlidis, N. & King, S., 31/07/2021, In: Technometrics. 63, 3, p. 396-409 11 p.

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

  15. 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

  16. Published

    Apple Tasting Revisited: Bayesian Approaches to Partially Monitored Online Binary Classification

    Grant, J. A. & Leslie, D. S., 29/09/2021, Arxiv.

    Research output: Working paper › Preprint

  17. Published

    GIBBON: General-purpose Information-Based Bayesian Optimisation

    Moss, H. B., Leslie, D. S., Gonzalez, J. & Rayson, P., 8/10/2021, In: Journal of Machine Learning Research. 22, 235, p. 1-49 49 p.

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

  18. Published

    Decentralized Q-learning in Zero-sum Markov Games

    Sayin, M. O., Zhang, K., Leslie, D., Basar, T. & Ozdaglar, A., 6/12/2021. 35 p.

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

  19. 2022
  20. Published

    Dynamic slate recommendation with gated recurrent units and Thompson sampling

    Eide, S., Leslie, D. S. & Frigessi, A., 30/09/2022, In: Data Mining and Knowledge Discovery. 36, 5, p. 1756-1786 31 p., 5.

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

  21. 2023
  22. E-pub ahead of print

    Characterising the ice sheet surface in North East Greenland using Sentinel-1 SAR data

    Shu, Q., Killick, R., Leeson, A., Nemeth, C., Fettweis, X., Hogg, A. & Leslie, D., 31/08/2023, (E-pub ahead of print) In: Journal of Glaciology. 12 p.

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

  23. 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

  24. Published

    Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty

    Ez-Zizi, A., Farrell, S., Leslie, D., Malhotra, G. & Ludwig, C. J. H., 1/12/2023, In: Computational Brain and Behavior. 6, 4, p. 626-650 25 p.

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

  25. Published

    A stochastic game framework for patrolling a border

    Darlington, M., Glazebrook, K., Shone, R., Leslie, D. & Szechtman, R., 16/12/2023, In: European Journal of Operational Research. 311, 3, p. 1146-1158 13 p.

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

  26. 2024
  27. 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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