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  1. 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

  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

    MUMBO: MUlti-task Max-value Bayesian Optimization

    Moss, H. B., Leslie, D. S. & Rayson, P., 14/09/2020, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings. Hutter, F., Kersting, K., Lijffijt, J. & Valera, I. (eds.). Cham: Springer, p. 447-462 16 p. (Lecture Notes in Computer Science; vol. 12459).

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

  4. 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, Vol. 2020-December. p. 15476-15486 11 p. (Advances in Neural Information Processing Systems).

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

  5. Published

    General-purpose Information-theoretical Bayesian Optimisation: A thesis by acronyms

    Moss, H., 2021, Lancaster University. 213 p.

    Research output: Thesis › Doctoral Thesis

  6. 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

  7. Published

    Inducing point allocation for sparse Gaussian processes in high-throughput Bayesian optimisation

    Moss, H. B., Ober, S. W. & Picheny, V., 25/04/2023, International Conference on Artificial Intelligence and Statistics. PMLR, Vol. 206. p. 5213-5230 18 p. (Proceedings of Machine Learning Research).

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

  8. Published

    Using a meta-analysis approach to understand complexity in soil biodiversity and phosphorus acquisition in plants

    Mezeli, M. M., Page, S., George, T. S., Neilson, R., Mead, A., Blackwell, M. S. A. & Haygarth, P. M., 30/03/2020, In: Soil Biology and Biochemistry. 142, 13 p., 107695.

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

  9. Published

    Corrigendum to “Using a meta-analysis approach to understand complexity in soil biodiversity and phosphorus acquisition in plants” [Soil Biol. Biochem. 142 (2020) 107695] (Soil Biology and Biochemistry (2020) 142, (S0038071719303591), (10.1016/j.soilbio.2019.107695))

    Mezeli, M. M., Page, S., George, T. S., Neilson, R., Mead, A., Blackwell, M. S. A. & Haygarth, P. M., 30/06/2021, In: Soil Biology and Biochemistry. 157, 108145.

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

  10. 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

  11. Published

    COVID-19 transmission dynamics and the impact of vaccination: modelling, analysis and simulations

    Malinzi, J., Juma, V. O., Madubueze, C. E., Mwaonanji, J., Nkem, G. N., Mwakilama, E., Mupedza, T. V., Chiteri, V. N., Bakare, E. A., Moyo, I. L.-Z., Campillo-Funollet, E., Nyabadza, F. & Madzvamuse, A., 31/07/2023, In: Royal Society Open Science. 10, 7, 24 p., 221656.

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

  12. 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

  13. 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

  14. Published

    On optimal multiple changepoint algorithms for large data

    Maidstone, R., Hocking, T., Rigaill, G. & Fearnhead, P., 5/09/2014, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  15. Published

    On optimal multiple changepoint algorithms for large data

    Maidstone, R., Hocking, T., Rigaill, G. & Fearnhead, P., 31/03/2017, In: Statistics and Computing. 27, p. 519-533 14 p.

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

  16. Published

    Efficient analysis of complex changepoint problems

    Maidstone, R., 11/2016, Lancaster University. 145 p.

    Research output: Thesis › Doctoral Thesis

  17. Published

    Collective Anomaly Detection in High-Dimensional Var Models

    Maeng, H., Eckley, I. & Fearnhead, P., 31/05/2023, In: Statistica Sinica. 33, 1603-1627, p. 1603-1627 25 p.

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

  18. Published

    Post-archival genomics and the bulk logistics of DNA sequences

    Mackenzie, A., McNally, R., Mills, R. & Sharples, S., 03/2016, In: BioSocieties. 11, 1, p. 82-105 24 p.

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

  19. Published

    Dynamic stochastic block models: Parameter estimation and detection of changes in community structure

    Ludkin, M., Neal, P. J. & Eckley, I. A., 11/2018, In: Statistics and Computing. 28, 6, p. 1201-1213 13 p.

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

  20. Published

    Semi-automated simultaneous predictor selection for regression-SARIMA models

    Lowther, A., Fearnhead, P., Nunes, M. & Jensen, K., 1/11/2020, In: Statistics and Computing. 30, p. 1759–1778 20 p.

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

  21. Published

    Why Higher Working Memory Capacity May Help You Learn: Sampling, Search, and Degrees of Approximation

    Lloyd, K., Sanborn, A., Leslie, D. & Lewandowsky, S., 31/12/2019, In: Cognitive Science. 43, 12, 43 p., e12805.

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

  22. Published

    On the asymptotic efficiency of approximate Bayesian computation estimators

    Li, W. & Fearnhead, P., 1/06/2018, In: Biometrika. 105, 2, p. 285-299 15 p.

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

  23. Published

    Convergence of regression-adjusted approximate Bayesian computation

    Li, W. & Fearnhead, P., 1/06/2018, In: Biometrika. 105, 2, p. 301-318 18 p.

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

  24. Published

    Automatic Change-Point Detection in Time Series via Deep Learning

    Li, J., Fearnhead, P., Fryzlewicz, P. & Wang, T., 12/04/2024, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 86, 2, p. 273-285 13 p.

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

  25. Published

    Nonparametric estimation of the distribution function in contingent valuation models

    Leslie, D. S., Kohn, R. & Fiebig, D. G., 1/09/2009, In: Bayesian Analysis. 4, 3, p. 573-598 15 p.

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

  26. Published

    A general approach to heteroscedastic linear regression

    Leslie, D. S., Kohn, R. & Nott, D. J., 25/05/2007, In: Statistics and Computing. 17, 2, p. 131-146 15 p.

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

  27. Published

    Discussion on the paper by Handcock, Raftery and Tantrum

    Leslie, D. S., 1/03/2007, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 170, 2, p. 328-329 2 p.

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

  28. Published

    Generalised weakened fictitious play

    Leslie, D. S. & Collins, E. J., 1/08/2006, In: Games and Economic Behavior. 56, 2, p. 285-298 13 p.

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

  29. Published

    Individual Q-learning in normal form games

    Leslie, D. S. & Collins, E. J., 1/01/2005, In: SIAM Journal on Control and Optimization. 44, 2, p. 495-514 20 p.

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

  30. Published

    Convergent multiple-timescales reinforcement learning algorithms in normal form games

    Leslie, D. S., 2003, In: Annals of Applied Probability. 13, 4, p. 1231-1251 21 p.

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

  31. 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

  32. Published

    Equilibrium selection in potential games with noisy rewards

    Leslie, D. S. & Marden, J. R., 2011, Network Games, Control and Optimization (NetGCooP), 2011 5th International Conference on. IEEE, p. 1-4 4 p.

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

  33. Published

    Threshold FlipThem: when the winner does not need to take all

    Leslie, D., Sherfield, C. L. & Smart, N. P., 12/11/2015, Decision and Game Theory for Security : 6th International Conference, GameSec 2015, London, UK, November 4-5, 2015, Proceedings. Khouzani, M. H. R., Panaousis, E. & Theodorakopoulos, G. (eds.). Cham: Springer, p. 74-92 19 p. (Lecture Notes in Computer Science; vol. 9406).

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

  34. 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

  35. Published

    Selecting Multiple Web Adverts - a Contextual Multi-armed Bandit with State Uncertainty

    Leslie, D. S. & Edwards, J. A., 2/01/2020, In: Journal of the Operational Research Society. 71, 1, p. 100-116 17 p.

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

  36. 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

  37. Published

    Regional climate of the Larsen B embayment 1980-2014

    Leeson, A. A., van Wessem, M., Ligtenberg, S., Shepherd, A., van den broeke, M., Killick, R. C., Skvarca, P., Marinsek, S. & Colwell, S., 08/2017, In: Journal of Glaciology. 63, 240, p. 683-690 8 p.

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

  38. Published

    Evolution of supraglacial lakes on the Larsen B ice shelf in the decades before it collapsed

    Leeson, A. A., Forster, E., Rice, A., Gourmelen, N. & Wessem, J. M., 28/02/2020, In: Geophysical Research Letters. 47, 4, e2019GL085591.

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

  39. Published

    Evaluation of extremal properties of GARCH(p,q) processes

    Laurini, F., Fearnhead, P. & Tawn, J. A., 19/08/2019, In: arxiv.org.

    Research output: Contribution to Journal/Magazine › Journal article

  40. E-pub ahead of print

    Limit theory and robust evaluation methods for the extremal properties of GARCH(p, q) processes

    Laurini, F., Fearnhead, P. & Tawn, J., 1/11/2022, (E-pub ahead of print) In: Statistics and Computing. 32, 6

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

  41. 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

  42. Published

    Classification of non‐stationary time series

    Krzemieniewska, K., Eckley, I. & Fearnhead, P., 2014, In: Stat. 3, 1, p. 144-157 13 p.

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

  43. Published

    changepoint: an R package for changepoint analysis

    Killick, R. & Eckley, I., 2014, In: Journal of Statistical Software. 58, 3, p. 1-19 19 p.

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

  44. Published

    Discussion of “Multiscale change point inference” by K. Frick, A. Munk and H. Sieling.

    Killick, R. C., 06/2014, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 76, 3, p. 557-557 1 p.

    Research output: Contribution to Journal/Magazine › Journal article

  45. Published

    Discussion of “Should we sample a time series more frequently? Decision support via multirate spectrum estimation” by Nason, Powell, Elliott and Smith

    Killick, R. C. & Norwood, B., 02/2017, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 180, 2, p. 394-395 2 p.

    Research output: Contribution to Journal/Magazine › Journal article

  46. Published

    The Local Partial Autocorrelation Function and some Applications

    Killick, R. C., Knight, M., Nason, G. P. & Eckley, I. A., 10/09/2020, In: Electronic Journal of Statistics. 14, 2, p. 3268-3314 47 p.

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

  47. Published

    Consistent algorithms for clustering time series

    Khaleghi, A., Ryabko, D., Mari, J. & Preux, P., 03/2016, In: Journal of Machine Learning Research. 17, 3, p. 1-32 32 p.

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

  48. Published

    Asymptotically consistent estimation of the number of change points in highly dependent time series

    Khaleghi, A. & Ryabko, D., 06/2014, Proceedings of The 31st International Conference on Machine Learning. p. 539-547 9 p.

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

  49. Published

    Nonparametric multiple change point estimation in highly dependent time series

    Khaleghi, A. & Ryabko, D., 21/03/2016, In: Theoretical Computer Science. 620, p. 119-133 15 p.

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

  50. 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

  51. Published

    Inferring the mixing properties of an ergodic process

    Khaleghi, A. & Lugosi, G., 15/06/2021, In: arXiv.org. 28 p.

    Research output: Contribution to Journal/Magazine › Journal article

  52. Published

    Assessing extremal dependence of North Sea storm severity

    Kereszturi, M., Tawn, J. A. & Jonathan, P., 15/05/2016, In: Ocean Engineering. 118, p. 242-259 18 p.

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

  53. Published

    Properties of extremal dependence models built on bivariate max-linearity

    Kereszturi, M. & Tawn, J., 03/2017, In: Journal of Multivariate Analysis. 155, p. 52-71 20 p.

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

  54. Unpublished

    Assessing and modelling extremal dependence in spatial extremes

    Kereszturi, M., 2017, (Unpublished) Lancaster University. 214 p.

    Research output: Thesis › Doctoral Thesis

  55. Published

    Drosophila PINK1 and parkin loss-of-function mutants display a range of non-motor Parkinson’s disease phenotypes.

    Julienne, H., Buhl, E., Leslie, D. S. & Hodge, J. J. L., 08/2017, In: Neurobiology of Disease. 104, p. 15-23 9 p.

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

  56. Published

    Fast Nonconvex Deconvolution of Calcium Imaging Data

    Jewell, S., Hocking, T. D., Fearnhead, P. & Witten, D., 8/02/2019, In: Biostatistics. 21, 4

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

  57. Published

    Testing for a Change in Mean After Changepoint Detection

    Jewell, S., Fearnhead, P. & Witten, D., 30/09/2022, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 84, 4, p. 1082-1104 23 p.

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

  58. Published

    A mechanistic Individual-based Model of microbial communities

    Jayathilake, P. G., Gupta, P., Li, B., Madsen, C., Oyebamiji, O., González-Cabaleiro, R., Rushton, S., Bridgens, B., Swailes, D., Allen, B., McGough, A. S., Zuliani, P., Ofiteru, I. D., Wilkinson, D., Chen, J. & Curtis, T., 1/08/2017, In: PLoS ONE.

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

  59. 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

  60. 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

  61. Published

    Divisive clustering of high dimensional data streams

    Hofmeyr, D., Pavlidis, N. & Eckley, I., 09/2016, In: Statistics and Computing. 26, 5, p. 1101–1120 20 p.

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

  62. Published

    Semi-supervised Spectral Connectivity Projection Pursuit

    Hofmeyr, D. & Pavlidis, N. G., 25/11/2015, Pattern Recognition Association of South Africa and Robotics and Mechatronics International Conference (PRASA-RobMech), 2015 . IEEE, p. 201-206 6 p.

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

  63. 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

  64. Published

    Projection methods for clustering and semi-supervised classification

    Hofmeyr, D., 2016, Lancaster University. 233 p.

    Research output: Thesis › Doctoral Thesis

  65. Published

    PPCI: an R Package for Cluster Identification using Projection Pursuit

    Hofmeyr, D. & Pavlidis, N., 27/12/2019, In: The R Journal.

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

  66. Published

    Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 31/03/2020, In: Journal of Machine Learning Research. 21, p. 1-40 40 p.

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

  67. Published

    Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

    Hocking, T. D., Rigaill, G., Fearnhead, P. & Bourque, G., 7/02/2022, In: Journal of Statistical Software. 101, 10, 31 p.

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

  68. Published

    Computationally efficient changepoint detection for a range of penalties

    Haynes, K., A. Eckley, I. & Fearnhead, P., 02/2017, In: Journal of Computational and Graphical Statistics. 26, 1, p. 134-143 10 p.

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

  69. Published

    The Fitbit generation: from couch potato to marathon runner

    Haynes, K., 12/2015, In: Significance. 12, 6, p. 24-25 2 p.

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

  70. Published

    A computationally efficient nonparametric approach for changepoint detection

    Haynes, K., Fearnhead, P. & Eckley, I. A., 09/2017, In: Statistics and Computing. 27, 5, p. 1293-1305 13 p.

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

  71. Published

    Detecting abrupt changes in big data

    Haynes, K., 2017, Lancaster University. 186 p.

    Research output: Thesis › Doctoral Thesis

  72. Published

    Six weeks of conditioning exercise increases total, but not free testosterone in lifelong sedentary aging men.

    Hayes, L., Sculthorpe, N., Herbert, P., Baker, J., Spagna, R. & Grace, F., 1/06/2015, In: Aging Male. 18, 3, p. 195-200

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

  73. Published

    Poor levels of agreement between serum and saliva testosterone measurement following exercise training in aging men.

    Hayes, L., Sculthorpe, N., Herbert, P., Baker, J., Hullin, D., Kilduff, L. & Grace, F., 1/03/2015, In: Aging Male. 18, 2, p. 67-70

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

  74. Published

    BayesProject: Fast computation of a projection direction for multivariate changepoint detection

    Hahn, G., Fearnhead, P. & Eckley, I., 1/11/2020, In: Statistics and Computing. 30, p. 1691–1705 15 p.

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

  75. Published

    Movement activity based classification of animal behaviour with an application to data from cheetah (Acinonyx jubatus)

    Grunewalder, S., Broekhuis, F., MacDonald, D. W., Wilson, A. M., McNutt, J. W., Shawe-Taylor, J. & Hailes, S., 19/11/2012, In: PLoS ONE. 7, 11, 11 p., 49120.

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

  76. Published

    Smooth Operators

    Grunewalder, S., Gretton, A. & Shawe-Taylor, J., 16/06/2013, Proceedings of the 30th International Conference on Machine Learning. PMLR, Vol. 28. p. 1184-1192 9 p.

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

  77. Published

    Modelling transition dynamics in MDPs with RKHS embeddings

    Grunewalder, S., Lever, G., Baldassarre, L., Pontil, M. & Gretton, A., 2012, Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, UK, 2012.

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

  78. Published

    Conditional mean embeddings as regressors

    Grunewalder, S., Lever, G., Gretton, A., Baldassarre, L., Patterson, S. & Pontil, M., 2012, Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, 2012. 898

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

  79. Published

    The optimal unbiased value estimator and its relation to LSTD, TD and MC

    Grunewalder, S. & Obermayer, K., 06/2011, In: Machine Learning. 83, 3, p. 289-330 42 p.

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

  80. Published

    Regret bounds for Gaussian process bandit problems

    Grunewalder, S., Audibert, J.-Y., Opper, M. & Shawe-Taylor, J., 2010, Artificial Intelligence and Statistics (AISTATS). p. 273-280 8 p.

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

  81. Published

    Optimality of LSTD and its relation to MC

    Grunewalder, S., Hochreiter, S. & Obermayer, K., 2007, International Joint Conference on Neural Networks, 2007. IJCNN 2007. IEEE

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

  82. Published

    Attention driven memory

    Grunewalder, S. & Obermayer, K., 2005, CogSci 2005: XXVII Annual Conference of the Cognitive Science Society July 21-23 Stresa, Italy. Bara, B. G., Barsalou, L. & Bucciarelli, M. (eds.). Cognitive Science Society, p. 845-850 6 p.

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

  83. Published

    Compact Convex Projections

    Grunewalder, S., 1/04/2018, In: Journal of Machine Learning Research. 18, 219, p. 1-43 43 p.

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

  84. 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

  85. Published

    Approximations of the Restless Bandit Problem

    Grunewalder, S. & Khaleghi, A., 1/02/2019, In: Journal of Machine Learning Research. 20, 14, p. 1-37 37 p.

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

  86. Published

    Oblivious Data for Fairness with Kernels

    Grunewalder, S. & Khaleghi, A., 31/08/2021, In: Journal of Machine Learning Research. 22, 36 p.

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

  87. Published

    changepoint.mv: Changepoint Analysis for Multivariate Time Series

    Grose, D. (Developer), Fearnhead, P. (Artist), Eckley, I. (Artist) & Bardwell, L. (Artist), 29/11/2018

    Research output: Exhibits, objects and web-based outputs › Software

  88. Published

    crops: Changepoints for a Range of Penalties (CROPS)

    Grose, D. (Developer) & Fearnhead, P. (Developer), 4/11/2021

    Research output: Exhibits, objects and web-based outputs › Software

  89. Published

    cpop: Detecting changes in piecewise-linear signals

    Grose, D. & Fearnhead, P., 29/05/2024, In: Journal of Statistical Software. 109, 7, p. 1-30 30 p., 7.

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

  90. Published

    cpop: Detection of Multiple Changes in Slope in Univariate Time-Series

    Grose, D. & Fearnhead, P., 23/08/2022

    Research output: Exhibits, objects and web-based outputs › Software

  91. 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

  92. 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

  93. 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

  94. 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

  95. 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

  96. Published

    Poisson process bandits: Sequential models and algorithms for maximising the detection of point data

    Grant, J., 17/02/2020, Lancaster University. 271 p.

    Research output: Thesis › Doctoral Thesis

  97. 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

  98. 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

  99. Published

    Filtered Poisson process bandit on a continuum

    Grant, J. & Szechtman, R., 31/12/2021, In: European Journal of Operational Research. 295, 2, p. 575-586 12 p.

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

  100. Published

    Estimating the population local wavelet spectrum with application to non-stationary functional magnetic resonance imaging time series

    Gott, A., Eckley, I. & Aston, J., 20/12/2015, In: Statistics in Medicine. 34, 29, p. 3901-3915 15 p.

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

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