Daniel Lizotte

Cited by

	All	Since 2015
Citations	1753	1089
h-index	18	16
i10-index	26	20

260

130

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200420052006200720082009201020112012201320142015201620172018201920206 30 22 31 26 40 54 62 75 113 183 115 187 145 197 199 246

Co-authors

Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Eric LaberNorth Carolina Stat University, Department of StatisticsVerified email at ncsu.edu
Michael BowlingUniversity of Alberta / DeepMindVerified email at ualberta.ca
Russ GreinerProfessor of Computer Science, University of AlbertaVerified email at ualberta.ca
Atif KhanComputer Science, University of WaterlooVerified email at uwaterloo.ca
Joelle PineauSchool of Computer Science, McGill UniversityVerified email at cs.mcgill.ca
John A. DoucetteBloomberg, LPVerified email at bloomberg.net
Jesse HoeyProfessor of Computer Science, University of WaterlooVerified email at cs.uwaterloo.ca
Rayman Preet SinghLinkedIn Corp, Amazon Web Services, Samsung ResearchVerified email at uwaterloo.ca
Peter Xiang GaoUC BerkeleyVerified email at berkeley.edu
Luiza AntonieUniversity of GuelphVerified email at uoguelph.ca
Kris InwoodUniversity of GuelphVerified email at uoguelph.ca
Srinivasan KeshavProfessor of Computer Science, University of CambridgeVerified email at cam.ac.uk
Adedamola AdepetuDavid R. Cheriton School of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Daniel AlmirallAssociate Professor, Institute for Social Research and Dept of Statistics, Univ ofVerified email at umich.edu
Daniel W StashukProfessor, Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
Ruth UrnerAssistant Professor, York University, TorontoVerified email at eecs.yorku.ca
Colin CherryGoogle ResearchVerified email at google.com
Shehroz S. KhanScientist, KITE, Toronto Rehabilitation InstituteVerified email at utoronto.ca

Daniel Lizotte

Assistant Professor of Computer Science, University of Western Ontario

Verified email at uwo.ca

Machine Learning Reinforcement Learning Statistics Biostatistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Automatic Gait Optimization with Gaussian Process Regression. DJ Lizotte, T Wang, MH Bowling, D Schuurmans IJCAI 7, 944-949, 2007	258	2007
Practical bayesian optimization DJ Lizotte University of Alberta, 2008	203	2008
Informing sequential clinical decision-making through reinforcement learning: an empirical study SM Shortreed, E Laber, DJ Lizotte, TS Stroup, J Pineau, SA Murphy Machine learning 84 (1-2), 109-136, 2011	129	2011
Bayesian sparse sampling for on-line reward optimization T Wang, D Lizotte, M Bowling, D Schuurmans Proceedings of the 22nd international conference on Machine learning, 956-963, 2005	128	2005
Budgeted learning of naïve-Bayes classifiers DJ Lizotte, O Madani, R Greiner Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002	120*	2002
Dynamic treatment regimes: Technical challenges and applications EB Laber, DJ Lizotte, M Qian, WE Pelham, SA Murphy Electronic journal of statistics 8 (1), 1225, 2014	115	2014
Efficient reinforcement learning with multiple reward functions for randomized controlled trial analysis DJ Lizotte, MH Bowling, SA Murphy Proceedings of the 27th International Conference on Machine Learning (ICML …, 2010	79	2010
Linear fitted-q iteration with multiple reward functions DJ Lizotte, M Bowling, SA Murphy The Journal of Machine Learning Research 13 (1), 3253-3295, 2012	75	2012
An experimental methodology for response surface optimization methods DJ Lizotte, R Greiner, D Schuurmans Journal of Global Optimization 53 (4), 699-736, 2012	66	2012
Active model selection O Madani, DJ Lizotte, R Greiner Proceedings of the 20th conference on Uncertainty in Artificial Intelligence …, 2004	63*	2004
Set‐valued dynamic treatment regimes for competing outcomes EB Laber, DJ Lizotte, B Ferguson Biometrics 70 (1), 53-61, 2014	60	2014
The budgeted multi-armed bandit problem O Madani, DJ Lizotte, R Greiner International Conference on Computational Learning Theory, 643-645, 2004	48	2004
On hourly home peak load prediction RP Singh, PX Gao, DJ Lizotte 2012 IEEE Third International Conference on Smart Grid Communications …, 2012	41	2012
Tracking people over time in 19th century Canada for longitudinal analysis L Antonie, K Inwood, DJ Lizotte, JA Ross Machine learning 95 (1), 129-146, 2014	38	2014
Statistical inference in dynamic treatment regimes EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy arXiv preprint arXiv:1006.5831, 2010	37	2010
Multi-objective Markov decision processes for data-driven decision support DJ Lizotte, EB Laber The Journal of Machine Learning Research 17 (1), 7378-7405, 2016	34	2016
Interpatient variation in rivaroxaban and apixaban plasma concentrations in routine care M Gulilat, A Tang, SE Gryn, P Leong-Sit, AC Skanes, JE Alfonsi, ... Canadian Journal of Cardiology 33 (8), 1036-1043, 2017	32	2017
Stable dual dynamic programming T Wang, M Bowling, D Schuurmans, DJ Lizotte Advances in neural information processing systems, 1569-1576, 2008	23	2008
Predicting responses to platin chemotherapy agents with biochemically-inspired machine learning EJ Mucaki, JZL Zhao, DJ Lizotte, PK Rogan Signal transduction and targeted therapy 4 (1), 1-12, 2019	16	2019
Critiquing time-of-use pricing in Ontario A Adepetu, E Rezaei, D Lizotte, S Keshav 2013 IEEE International Conference on Smart Grid Communications …, 2013	16	2013

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