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Professor David Leslie

Professor

  1. 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/MagazineJournal articlepeer-review

  2. Published

    A Probabilistic Assessment of the COVID-19 Lockdown on Air Quality in the UK

    Pinder, T., Hollaway, M., Nemeth, C., Young, P. J. & Leslie, D., 22/04/2021, In: arxiv.org.

    Research output: Contribution to Journal/MagazineJournal article

  3. Published
  4. 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/MagazineJournal articlepeer-review

  5. 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/MagazineJournal articlepeer-review

  6. 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/MagazineJournal articlepeer-review

  7. Unpublished

    Adaptive forgetting factor fictitious play

    Smyrnakis, M. & S. Leslie, D., 11/12/2011, (Unpublished) In: arxiv.org.

    Research output: Contribution to Journal/MagazineJournal article

  8. 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/MagazineJournal articlepeer-review

  9. 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/ISSNConference contribution/Paperpeer-review

  10. Published
  11. Published

    Asynchronous stochastic approximation with differential inclusions

    Perkins, S. & Leslie, D. S., 2012, In: Stochastic Systems. 2, p. 409-446 37 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. 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/ISSNConference contribution/Paperpeer-review

  13. 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/ISSNConference contribution/Paperpeer-review

  14. 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/MagazineJournal articlepeer-review

  15. 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

  16. 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/ISSNConference contribution/Paperpeer-review

  17. E-pub ahead of print

    Characterising the ice sheet surface in North East Greenland using Sentinel-1 SAR data

    Shu, Q., Killick, R., Leeson, A., Nemeth, C., Fettweis, X., Hogg, A. & Leslie, D., 31/08/2023, (E-pub ahead of print) In: Journal of Glaciology. 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. 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/ISSNConference contribution/Paperpeer-review

  19. 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/MagazineJournal article

  20. Published

    Context-dependent decision-making: a simple Bayesian model

    Lloyd, K. & Leslie, D. S., 20/02/2013, In: Interface. 10, 82, p. 1-13 13 p., 20130069.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  21. Published

    Convergence of probability collectives with adaptive choice of temperature parameters

    Smyrnakis, M. & Leslie, D. S., 2010, Learning and intelligent optimization: 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010. Selected Papers. Blum, C. & Battiti, R. (eds.). Berlin: Springer, p. 200-203 4 p. (Lecture Notes in Computer Science; vol. 6073).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  22. 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/MagazineJournal articlepeer-review

  23. 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/MagazineJournal articlepeer-review

  24. Published

    Decentralized Q-learning in Zero-sum Markov Games

    Sayin, M. O., Zhang, K., Leslie, D., Basar, T. & Ozdaglar, A., 6/12/2021. 35 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

  25. 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/MagazineComment/debatepeer-review

  26. 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/ISSNChapter

  27. 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/MagazineJournal articlepeer-review

  28. Published

    Dynamic opponent modelling in fictitious play

    Smyrnakis, M. & Leslie, D. S., 1/11/2010, In: The Computer Journal. 53, 9, p. 1344-1359 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  29. 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/MagazineJournal articlepeer-review

  30. 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/MagazineJournal article

  31. 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/MagazineJournal articlepeer-review

  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/ISSNConference contribution/Paperpeer-review

  33. Published

    Equity Premium Forecasts with an Unknown Number of Structural Breaks

    Smith, S. C., Bulkley, G. & Leslie, D. S., 1/01/2020, In: Journal of Financial Econometrics. 18, 1, p. 59-94 36 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  34. 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/ISSNConference contribution/Paperpeer-review

  35. 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/ISSNConference contribution/Paperpeer-review

  36. Published

    Gaussian Processes on Hypergraphs

    Pinder, T., Turnbull, K., Nemeth, C. & Leslie, D., 3/06/2021.

    Research output: Working paperPreprint

  37. 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/MagazineJournal articlepeer-review

  38. 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/MagazineJournal articlepeer-review

  39. Published

    GIBBON: General-purpose Information-Based Bayesian Optimisation

    Moss, H. B., Leslie, D. S., Gonzalez, J. & Rayson, P., 8/10/2021, In: Journal of Machine Learning Research. 22, 235, p. 1-49 49 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  40. 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/MagazineJournal articlepeer-review

  41. Published

    Information theory and observational limitations in decision making

    Wolpert, D. & Leslie, D. S., 2012, In: BE Journal of Theoretical Economics. 12, 1

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  42. 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/MagazineJournal articlepeer-review

  43. 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/MagazineJournal articlepeer-review

  44. 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/MagazineJournal article

  45. Published

    Mixed-strategy learning with continuous action sets

    Perkins, S., Mertikopoulos, P. & Leslie, D. S., 01/2017, In: IEEE Transactions on Automatic Control. 62, 1, p. 379-384 6 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  46. 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/ISSNConference contribution/Paperpeer-review

  47. 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/ISSNConference contribution/Paperpeer-review

  48. 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/MagazineJournal articlepeer-review

  49. Published

    On similarities between inference in game theory and machine learning

    Rezek, I., Leslie, D. S., Reece, S., Roberts, S. J., Rogers, A., Dash, R. K. & Jennings, N. R., 2008, In: Journal of Artificial Intelligence Research. 33, p. 259-283 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  50. 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/ISSNConference contribution/Paperpeer-review

  51. 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/MagazineJournal articlepeer-review

  52. 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/MagazineJournal articlepeer-review

  53. 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/MagazineJournal articlepeer-review

  54. 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

  55. 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/MagazineJournal article

  56. 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/MagazineJournal articlepeer-review

  57. 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/MagazineJournal articlepeer-review

  58. 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/MagazineJournal articlepeer-review

  59. 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/ISSNConference contribution/Paperpeer-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/ISSNConference contribution/Paperpeer-review

  61. 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/MagazineJournal articlepeer-review

  62. Published

    Robustness Properties in Fictitious-Play-Type Algorithms

    Swenson, B., Kar, S., Xavier, J. & Leslie, D. S., 24/10/2017, In: SIAM Journal on Control and Optimization. 55, p. 3295-3318 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  63. 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/MagazineJournal articlepeer-review

  64. Published

    Sequentially updated probability collectives

    Smyrnakis, M. & Leslie, D. S., 2009, Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on. IEEE, p. 5774-5779 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  65. Published

    Stein Variational Gaussian Processes

    Pinder, T., Nemeth, C. & Leslie, D., 25/09/2020, In: arXiv.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  66. Published

    Stochastic Fictitious Play using Particle Filters to update the beliefs of opponents strategies

    Smyrnakis, M. & Leslie, D. S., 2008, Optimization in Multi-Agent Systems workshop OptMas, 17th International Conference on Autonomous Agents and Multiagent Systems AAMAS 2008.. Padgham, L., Parkes, D. & Müller, J. (eds.). INESC-ID, 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  67. Published

    Stochastic fictitious play with continuous action sets

    Perkins, S. & Leslie, D. S., 07/2014, In: Journal of Economic Theory. 152, p. 179-213 35 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  68. 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/ISSNConference contribution/Paperpeer-review

  69. 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/MagazineJournal articlepeer-review

  70. 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/ISSNConference contribution/Paperpeer-review

  71. 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/MagazineJournal articlepeer-review

  72. 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/ISSNConference contribution/Paperpeer-review

  73. 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/MagazineJournal articlepeer-review

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