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Professor David Leslie

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  1. 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

  2. Published

    Optimistic Bayesian sampling in contextual-bandit problems

    May, B. C., Korda, N., Lee, A. & Leslie, D. S., 06/2012, In: Journal of Machine Learning Research. 13, p. 2069-2106 37 p.

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

  3. Published

    Overcoming Indecision by Changing the Decision Boundary

    Malhotra, G., Leslie, D. S., Ludwig, C. J. H. & Bogacz, R., 06/2017, In: Journal of Experimental Psychology: General. 146, 6, p. 776-805 30 p.

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

  4. Published

    Population-level reinforcement learning resulting in smooth best response dynamics

    Leslie, D. S. & Collins, E. J., 2002, p. 1-13, 14 p.

    Research output: Working paper

  5. 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

  6. Published

    Posterior weighted reinforcement learning with state uncertainty

    Larsen, T., Leslie, D. S., Collins, E. J. & Bogacz, R., 1/05/2010, In: Neural Computation. 22, 5, p. 1149-1179 30 p.

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

  7. 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

  8. Published

    Respondent driven sampling and community structure in a population of injecting drug users, Bristol, UK

    Mills, H. L., Colijn, C., Vickerman, P., Leslie, D. S., Hope, V. & Hickman, M., 1/12/2012, In: Drug and Alcohol Dependence. 126, 3, p. 324-332 8 p.

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

  9. Published

    REX: a development platform and online learning approach for Runtime emergent software systems

    Porter, B. F., Grieves, M., Rodrigues Filho, R. & Leslie, D. S., 2/11/2016, Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation. USENIX Association, p. 333-348 16 p.

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

  10. 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

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