Items where Author is "Leslie, David S."

Journal Article

He, Changjiang and Leslie, David S. and Grant, James A. (2024) Online Detection and Fuzzy Clustering of Anomalies in Non-Stationary Time Series. Signals, 5 (1). pp. 40-59. ISSN 2624-6120

Eide, Simen and Leslie, David S. and Frigessi, Arnoldo (2022) Dynamic slate recommendation with gated recurrent units and Thompson sampling. Data Mining and Knowledge Discovery, 36 (5): 5. pp. 1756-1786. ISSN 1384-5810

Moss, Henry B. and Leslie, David S. and Gonzalez, Javier and Rayson, Paul (2021) GIBBON: General-purpose Information-Based Bayesian Optimisation. Journal of Machine Learning Research, 22 (235). pp. 1-49. ISSN 1532-4435

Eide, Simen and Leslie, David S. and Frigessi, Arnoldo (2021) Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling. arxiv.org.

Grant, James A. and Leslie, David S. (2020) Learning to Rank under Multinomial Logit Choice. arXiv.org.

Grant, James A. and Leslie, David S. and Glazebrook, Kevin and Szechtman, Roberto and Letchford, Adam (2020) Adaptive policies for perimeter surveillance problems. European Journal of Operational Research, 283 (1). pp. 265-278. ISSN 0377-2217

Smith, Simon C. and Bulkley, George and Leslie, David S. (2020) Equity Premium Forecasts with an Unknown Number of Structural Breaks. Journal of Financial Econometrics, 18 (1). pp. 59-94. ISSN 1479-8409

Grant, James A. and Leslie, David S. (2019) Posterior Contraction Rates for Gaussian Cox Processes with Non-identically Distributed Data. arxiv.org.

Malhotra, Gaurav and Leslie, David S. and Ludwig, Casimir J. H. and Bogacz, Rafal (2018) Time-varying decision boundaries : insights from optimality analysis. Psychonomic Bulletin and Review, 25 (3). pp. 971-996. ISSN 1069-9384

Gronau, Quentin F. and Sarafoglou, Alexandra and Matzke, Dora and Ly, Alexander and Boehm, Udo and Marsman, Maarten and Leslie, David S. and Forster, Jonathan J. and Wagenmakers, Eric-Jan and Steingroever, Helen (2017) A tutorial on bridge sampling. Journal of Mathematical Psychology, 81. pp. 80-97. ISSN 0022-2496

Swenson, Brian and Kar, Soummya and Xavier, João and Leslie, David S. (2017) Robustness Properties in Fictitious-Play-Type Algorithms. SIAM Journal on Control and Optimization, 55. pp. 3295-3318. ISSN 0363-0129

Julienne, Hannah and Buhl, Edgar and Leslie, David S. and Hodge, James J.L. (2017) Drosophila PINK1 and parkin loss-of-function mutants display a range of non-motor Parkinson’s disease phenotypes. Neurobiology of Disease, 104. pp. 15-23. ISSN 0969-9961

Malhotra, Gaurav and Leslie, David S. and Ludwig, Casimir J. H. and Bogacz, Rafal (2017) Overcoming Indecision by Changing the Decision Boundary. Journal of Experimental Psychology: General, 146 (6). pp. 776-805. ISSN 0096-3445

Grant, James A. and Leslie, David S. and Glazebrook, Kevin and Szechtman, Roberto (2017) Combinatorial Multi-Armed Bandits with Filtered Feedback. arxiv.org.

Chapman, Archie C. and Leslie, David S. and Rogers, Alex and Jennings, Nicholas R. (2013) Convergent learning algorithms for unknown reward games. SIAM Journal on Control and Optimization, 51 (4). pp. 3154-3180. ISSN 0363-0129

Mills, H.l. and Colijn, C. and Vickerman, P. and Leslie, David S. and Hope, V. and Hickman, M. (2012) Respondent driven sampling and community structure in a population of injecting drug users, Bristol, UK. Drug and Alcohol Dependence, 126 (3). pp. 324-332. ISSN 0376-8716

May, Benedict C. and Korda, Nathan and Lee, Anthony and Leslie, David S. (2012) Optimistic Bayesian sampling in contextual-bandit problems. Journal of Machine Learning Research, 13. pp. 2069-2106. ISSN 1532-4435

Perkins, Steven and Leslie, David S. (2012) Asynchronous stochastic approximation with differential inclusions. Stochastic Systems, 2. pp. 409-446. ISSN 1946-5238

Wolpert, David and Leslie, David S. (2012) Information theory and observational limitations in decision making. BE Journal of Theoretical Economics, 12 (1).

Chapman, Archie C. and Rogers, Alex and Jennings, Nicholas R. and Leslie, David S. (2011) A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems. Knowledge Engineering Review, 26 (04). pp. 411-444. ISSN 0269-8889

Smyrnakis, Michalis and Leslie, David S. (2010) Dynamic opponent modelling in fictitious play. The Computer Journal, 53 (9). pp. 1344-1359. ISSN 0010-4620

Larsen, Tobias and Leslie, David S. and Collins, Edmund J. and Bogacz, Rafal (2010) Posterior weighted reinforcement learning with state uncertainty. Neural Computation, 22 (5). pp. 1149-1179. ISSN 0899-7667

Leslie, David S. and Kohn, Robert and Fiebig, Denzil G. (2009) Nonparametric estimation of the distribution function in contingent valuation models. Bayesian Analysis, 4 (3). pp. 573-598. ISSN 1936-0975

Fan, Y. and Leslie, David S. and Wand, M. P. (2008) Generalised linear mixed model analysis via sequential Monte Carlo sampling. Electronic Journal of Statistics, 2. pp. 916-938. ISSN 1935-7524

Rezek, I. and Leslie, David S. and Reece, S. and Roberts, S. J. and Rogers, A. and Dash, R. K. and Jennings, N. R. (2008) On similarities between inference in game theory and machine learning. Journal of Artificial Intelligence Research, 33. pp. 259-283. ISSN 1076-9757

Leslie, David S. and Kohn, Robert and Nott, David J. (2007) A general approach to heteroscedastic linear regression. Statistics and Computing, 17 (2). pp. 131-146. ISSN 0960-3174

Leslie, David S. (2007) Discussion on the paper by Handcock, Raftery and Tantrum. Journal of the Royal Statistical Society: Series A Statistics in Society, 170 (2). pp. 328-329. ISSN 0964-1998

Leslie, David S. and Collins, E. J. (2006) Generalised weakened fictitious play. Games and Economic Behavior, 56 (2). pp. 285-298. ISSN 0899-8256

Leslie, David S. and Collins, E. J. (2005) Individual Q-learning in normal form games. SIAM Journal on Control and Optimization, 44 (2). pp. 495-514. ISSN 0363-0129

Leslie, David S. (2003) Convergent multiple-timescales reinforcement learning algorithms in normal form games. Annals of Applied Probability, 13 (4). pp. 1231-1251. ISSN 1050-5164

Contribution in Book/Report/Proceedings

Moss, Henry B. and Leslie, David S. and Rayson, Paul (2020) MUMBO : MUlti-task Max-value Bayesian Optimization. In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Proceedings :. Lecture Notes in Computer Science . Springer, Cham, pp. 447-462. ISBN 9783030676636

Grant, James A. and Leslie, David S. (2020) On Thompson Sampling for Smoother-than-Lipschitz Bandits. In: 23rd International Conference on Artificial Intelligence and Statistics :. Proceedings of Machine Learning Research . Proceedings of Machine Learning Research, pp. 2612-2622.

Moss, Henry B. and Moore, Andrew and Leslie, David S. and Rayson, Paul (2019) FIESTA : Fast IdEntification of State-of-The-Art models using adaptive bandit algorithms. In: Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics :. Association for Computational Linguistics, ITA, pp. 2920-2930.

Borowski, Holly and Marden, Jason R. and Leslie, David S. and Frew, Eric W. (2013) Coarse resistance tree methods for stochastic stability analysis. In: Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on :. IEEE, pp. 1860-1865. ISBN 9781467357142

Leslie, David S. and Marden, Jason R. (2011) Equilibrium selection in potential games with noisy rewards. In: Network Games, Control and Optimization (NetGCooP), 2011 5th International Conference on :. IEEE, pp. 1-4. ISBN 9781467303835

Smyrnakis, Michalis and Leslie, David S. (2010) Convergence of probability collectives with adaptive choice of temperature parameters. In: Learning and intelligent optimization : 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010. Selected Papers. Lecture Notes in Computer Science . Springer, Berlin, pp. 200-203. ISBN 9783642137990

Smyrnakis, Michalis and Leslie, David S. (2009) Sequentially updated probability collectives. In: Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on :. IEEE, pp. 5774-5779. ISBN 9781424438716

Adams, N. M. and Field, M. and Gelenbe, E. and Hand, D. J. and Jennings, N. R. and Leslie, David S. and Nicholson, D. and Ramchurn, S. D. and Roberts, S. J. and Rogers, A. (2008) The ALADDIN project : intelligent agents for disaster management. In: International Workshop on Robotics for Risky Interventions and Surveillance of the Environment :. International Advanced Robotics Programme, ESP.

Smyrnakis, Michalis and Leslie, David S. (2008) Stochastic Fictitious Play using Particle Filters to update the beliefs of opponents strategies. In: Optimization in Multi-Agent Systems workshop OptMas, 17th International Conference on Autonomous Agents and Multiagent Systems AAMAS 2008. :. INESC-ID. ISBN 9780981738109

Monograph

Arabzadeh, Ali and Grant, James A. and Leslie, David S. (2024) Federated $\mathcal{X}$-armed Bandit with Flexible Personalisation. Other. Arxiv.

Grant, James A. and Leslie, David S. (2021) Apple Tasting Revisited : Bayesian Approaches to Partially Monitored Online Binary Classification. Other. Arxiv.

Perkins, Steven and Mertikopoulos, Panayotis and Leslie, David S. (2014) Game-theoretical control with continuous action sets. Working Paper. UNSPECIFIED. (Unpublished)

Leslie, David S. and Collins, E. J. (2002) Population-level reinforcement learning resulting in smooth best response dynamics. Working Paper. UNSPECIFIED.

Contribution to Conference

Moss, Henry B. and Leslie, David S. and Rayson, Paul (2020) BOSH : Bayesian Optimization by Sampling Hierarchically. In: Workshop on Real World Experiment Design and Active Learning at ICML 2020, 2020-07-13 - 2020-07-18.