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  1. Chapter (peer-reviewed)
  2. Published

    Asymptotics of ABC

    Fearnhead, P., 2018, Handbook of Approximate Bayesian Computation . Sisson, S., Fan, Y. & Beaumont, M. (eds.). CRC Press, p. 269-288 20 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  3. Published

    Model switching and model averaging in time-varying parameter regression models

    Gonzalez Belmonte, M. A. & Koop, G., 2014, Bayesian model comparision. Emerald Group Publishing Ltd, p. 45-69 25 p. (Advances in Econometrics; vol. 34).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  4. Chapter
  5. 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

  6. Published

    Particle learning approach to Bayesian model selection: an application from neurology

    Taylor, S., Ridall, G., Sherlock, C. & Fearnhead, P., 2014, The contribution of young researchers to Bayesian statistics: Proceedings of BAYSM2013. Lanzarone, E. & Leva, F. (eds.). Springer, p. 165-167 3 p. (Springer Proceedings in Mathematics and Statistics; vol. 63).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  7. Conference contribution/Paper
  8. Published

    Modeling of Waiting Lists for Chronic Heart Failure in the Wake of the Covid-19 Pandemic

    Wise, A., Heib, A., Morgan, L., Currie, C., Champneys, A., Nadarajah, R., Gale, C. & Mamas, M., 23/02/2022, 2021 Winter Simulation Conference, WSC 2021. IEEE, p. 1-11 11 p. 9715505. (Proceedings - Winter Simulation Conference; vol. 2021-December).

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

  9. 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

  10. 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

  11. Published

    A Bayesian Nonparametric Approach to Differentially Private Data

    Battiston, M., Ayed, F. & Di Benedetto, G., 16/09/2020, Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Proceedings. Domingo-Ferrer, J. & Muralidhar, K. (eds.). Springer, p. 32-48 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12276 LNCS).

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

  12. 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

  13. 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

  14. Published

    Clustering piecewise stationary processes

    Khaleghi, A. & Ryabko, D., 24/08/2020, 2020 IEEE International Symposium on Information Theory. IEEE, p. 2753-2758 6 p.

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

  15. Published

    BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization

    Moss, H., Aggarwal, V., Prateek, N., González, J. & Barra-Chicote, R., 14/05/2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2020 ed. IEEE, p. 7639-7643 5 p. (ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); vol. 2020).

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

  16. 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

  17. Published

    IoTNetSim: A Modelling and Simulation Platform for End-to-End IoT Services and Networking

    Salama, M., Elkhatib, Y. & Blair, G., 1/12/2019, Proceedings of IEEE/ACM 12th International Conference on Utility and Cloud Computing. ACM, p. 251–261 11 p.

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

  18. 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

  19. 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

  20. 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

  21. Published

    Towards Large Scale Ad-hoc Teamwork

    Shafipour Yourdshahi, E., Pinder, T., Dhawan, G., Soriano Marcolino, L. & Angelov, P. P., 13/09/2018, 2018 IEEE International Conference on Agents (ICA). IEEE, 6 p.

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

  22. Published

    Bandits with Delayed, Aggregated Anonymous Feedback

    Pike-Burke, C., Agrawal, S., Szepesvari, C. & Grunewalder, S., 15/07/2018, Proceedings of the International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden. Dy, J. (ed.). PMLR, p. 4105-4123 19 p. (Proceedings of Machine Learning Research; vol. 80).

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

  23. 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

  24. Published

    Plug-in Estimators for Conditional Expectations and Probabilities

    Grunewalder, S., 1/04/2018, Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. Storkey, A. & Perez-Cruz, F. (eds.). PMLR, p. 1513-1521 9 p. (Proceedings of Machine Learning Research; vol. 84).

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

  25. 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

  26. Published

    Optimistic planning for the stochastic knapsack problem

    Pike-Burke, C. & Grunewalder, S., 20/04/2017, Proceedings of the 20th International Conference on Artificial Intelligence and Statistics. p. 1114-1122 9 p. (Proceedings of Machine Learning Research; vol. 54).

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

  27. 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

  28. Published

    Maximum Clusterability Divisive Clustering

    Hofmeyr, D. & Pavlidis, N. G., 7/12/2015, Computational Intelligence, 2015 IEEE Symposium Series on . Cape Town: IEEE, p. 780-786 7 p.

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

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