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Professor David Leslie

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  1. 2019
  2. 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

  3. 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

  4. 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

  5. 2018
  6. 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

  7. Published

    Using JK-fold Cross Validation To Reduce Variance When Tuning NLP Models

    Moss, H., Leslie, D. & Rayson, P., 31/08/2018, Proceedings of the 27th International Conference on Computational Linguistics. Santa Fe: Association for Computational Linguistics, p. 2978-2989 12 p.

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

  8. Published

    Time-varying decision boundaries: insights from optimality analysis

    Malhotra, G., Leslie, D. S., Ludwig, C. J. H. & Bogacz, R., 06/2018, In: Psychonomic Bulletin and Review. 25, 3, p. 971-996 26 p.

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

  9. 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

  10. 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

  11. 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

  12. 2017
  13. Published

    A tutorial on bridge sampling

    Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E.-J. & Steingroever, H., 12/2017, In: Journal of Mathematical Psychology. 81, p. 80-97 18 p.

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

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