David S. Leslie

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Alex RogersProfessor of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
Nick JenningsVice-Provost (Research and Enterprise), Imperial CollegeVerified email at imperial.ac.uk
Archie ChapmanSenior Lecturer, Information Technology and Electrical Engineering, University of QueenslandVerified email at uq.edu.au
Henry B MossSenior Machine Learning Researcher at SecondmindVerified email at secondmind.ai
Professor Paul RaysonSchool of Computing and Communications, Lancaster University, UKVerified email at lancaster.ac.uk
Quentin F. GronauUniversity of AmsterdamVerified email at uva.nl
Alexander LyUniversity of Amsterdam, Centrum Wiskunde & InformaticaVerified email at uva.nl
Dora MatzkeAssociate Professor, University of AmsterdamVerified email at uva.nl
Jonathan ForsterUniversity of SouthamptonVerified email at soton.ac.uk
Helen SteingroeverUniversity of AmsterdamVerified email at uva.nl
Maarten MarsmanAssistant Professor, University of AmsterdamVerified email at uva.nl
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
Rafal BogaczMRC Brain Network Dynamics Unit at the University of OxfordVerified email at ndcn.ox.ac.uk
James A GrantLecturer in Statistics, Lancaster UniversityVerified email at lancaster.ac.uk
Michalis SmyrnakisResearch Scientist, STFC LaboratoryVerified email at stfc.ac.uk
Panayotis MertikopoulosCNRSVerified email at imag.fr
Anthony LeeSchool of Mathematics, University of BristolVerified email at bristol.ac.uk
robert kohnProfessor of Economics University of New South WalesVerified email at unsw.edu.au
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk
Casimir LudwigSchool of Psychological Science, University of BristolVerified email at bristol.ac.uk

David S. Leslie

Professor of Statistical Learning, Lancaster University

Verified email at lancaster.ac.uk - Homepage

Statistical learning Game theory Decision-making


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Optimistic Bayesian sampling in contextual-bandit problems BC May, N Korda, A Lee, DS Leslie Journal of Machine Learning Research 13, 2069-2106, 2012	186	2012
A tutorial on bridge sampling QF Gronau, A Sarafoglou, D Matzke, A Ly, U Boehm, M Marsman, ... Journal of mathematical psychology 81, 80-97, 2017	137	2017
Generalised weakened fictitious play DS Leslie, EJ Collins Games and Economic Behavior 56 (2), 285-298, 2006	135	2006
Individual Q-learning in normal form games DS Leslie, EJ Collins SIAM Journal on Control and Optimization 44 (2), 495-514, 2005	123	2005
Convergent multiple-timescales reinforcement learning algorithms in normal form games DS Leslie, EJ Collins The Annals of Applied Probability 13 (4), 1231-1251, 2003	86	2003
A unifying framework for iterative approximate best-response algorithms for distributed constraint optimization problems AC Chapman, A Rogers, NR Jennings, DS Leslie Knowledge Engineering Review 26 (4), 411-444, 2011	61	2011
Convergent learning algorithms for unknown reward games AC Chapman, DS Leslie, A Rogers, NR Jennings SIAM Journal on Control and Optimization 51 (4), 3154-3180, 2013	43	2013
A general approach to heteroscedastic linear regression DS Leslie, R Kohn, DJ Nott Statistics and Computing 17 (2), 131-146, 2007	42	2007
Simulation studies in optimistic Bayesian sampling in contextual-bandit problems BC May, DS Leslie Statistics Group, Department of Mathematics, University of Bristol 11, 02, 2011	37	2011
On similarities between inference in game theory and machine learning I Rezek, DS Leslie, S Reece, SJ Roberts, A Rogers, RK Dash, ... Journal of Artificial Intelligence Research 33, 259-283, 2008	35	2008
Drosophila PINK1 and parkin loss-of-function mutants display a range of non-motor Parkinson’s disease phenotypes JJL Julienne, H., Buhl, E., Leslie, D. S. & Hodge Neurobiology of Disease, 2017	34	2017
Context-dependent decision-making: a simple Bayesian model K Lloyd, DS Leslie Journal of The Royal Society Interface 10 (82), 20130069, 2013	33	2013
Bandit learning in concave N-person games M Bravo, D Leslie, P Mertikopoulos Advances in Neural Information Processing Systems 31, 5661-5671, 2018	32	2018
Mixed-strategy learning with continuous action sets S Perkins, P Mertikopoulos, DS Leslie IEEE Transactions on Automatic Control 62 (1), 379-384, 2017	31	2017
Time-varying decision boundaries: insights from optimality analysis G Malhotra, DS Leslie, CJH Ludwig, R Bogacz Psychonomic bulletin & review 25 (3), 971-996, 2018	29	2018
Stochastic fictitious play with continuous action sets S Perkins, DS Leslie Journal of Economic Theory 152, 179-213, 2014	29	2014
Generalised linear mixed model analysis via sequential Monte Carlo sampling Y Fan, DS Leslie, MP Wand Electronic Journal of Statistics 2, 916-938, 2008	29	2008
Overcoming indecision by changing the decision boundary G Malhotra, DS Leslie, CJH Ludwig, R Bogacz Journal of Experimental Psychology: General, 2017	28	2017
The aladdin project: intelligent agents for disaster management NM Adams, M Field, E Gelenbe, NR Jennings, DS Leslie, D Nicholson, ... IARP/EURON Workshop on Robotics for Risky Interventions and Environmental …, 2008	27	2008
Asynchronous stochastic approximation with differential inclusions S Perkins, DS Leslie Stochastic Systems 2 (2), 409-446, 2013	26	2013

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