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Professor David Leslie

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  1. Published

    The ALADDIN project: intelligent agents for disaster management

    Adams, N. M., Field, M., Gelenbe, E., Hand, D. J., Jennings, N. R., Leslie, D. S., Nicholson, D., Ramchurn, S. D., Roberts, S. J. & Rogers, A., 2008, International Workshop on Robotics for Risky Interventions and Surveillance of the Environment. International Advanced Robotics Programme, 9 p.

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

  2. 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

  3. Published

    Coarse resistance tree methods for stochastic stability analysis

    Borowski, H., Marden, J. R., Leslie, D. S. & Frew, E. W., 2013, Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on. IEEE, p. 1860-1865 6 p.

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

  4. 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

  5. Published

    Convergent learning algorithms for unknown reward games

    Chapman, A. C., Leslie, D. S., Rogers, A. & Jennings, N. R., 1/01/2013, In: SIAM Journal on Control and Optimization. 51, 4, p. 3154-3180 27 p.

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

  6. 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

  7. Published

    A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems

    Chapman, A. C., Rogers, A., Jennings, N. R. & Leslie, D. S., 1/12/2011, In: Knowledge Engineering Review. 26, 04, p. 411-444 34 p.

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

  8. Published

    A stochastic game framework for patrolling a border

    Darlington, M., Glazebrook, K. D., Leslie, D. S., Shone, R. & Szechtman, R., 20/05/2022, Arxiv.

    Research output: Working paper › Preprint

  9. 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

  10. Published

    Effects of flood hazard visualization format on house purchasing decisions

    Dobson, B. A., Miles-Wilson, J. J., Gilchrist, I. D., Leslie, D. S. & Wagener, T., 2018, In: Urban Water Journal . 15, 7, p. 671-681 11 p.

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

  11. 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

  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

    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

  14. 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

  15. Published

    Bayesian Reinforcement Learning in Markovian and non-Markovian Tasks

    Ez-Zizi, A., Farrell, S. & Leslie, D. S., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 579-586 7 p.

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

  16. 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

  17. Published

    Generalised linear mixed model analysis via sequential Monte Carlo sampling

    Fan, Y., Leslie, D. S. & Wand, M. P., 1/01/2008, In: Electronic Journal of Statistics. 2, p. 916-938 22 p.

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

  18. Published

    Combinatorial Multi-Armed Bandits with Filtered Feedback

    Grant, J. A., Leslie, D. S., Glazebrook, K. & Szechtman, R., 26/05/2017, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  19. Published

    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 Journal/Magazine › Journal article › peer-review

  20. 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

  21. Published

    Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data

    Grant, J. A. & Leslie, D. S., 20/06/2019, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  22. 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

  23. 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

  24. 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

  25. 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

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