Daniel Lizotte

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Susan MurphyHarvard UniversityVerified email at g.harvard.edu
Eric LaberDuke UniversityVerified email at duke.edu
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Michael BowlingUniversity of Alberta / DeepMindVerified email at ualberta.ca
Russ GreinerProfessor of Computer Science, University of AlbertaVerified email at ualberta.ca
Greta BauerProfessor and Director, Institute for Sexual and Gender Health, University of Minnesota MedicalVerified email at umn.edu
Jacqueline K. KueperWestern UniversityVerified email at uwo.ca
Amanda TerryAssociate Professor, The University of Western OntarioVerified email at uwo.ca
William E. Pelham Jr.Florida International UniversityVerified email at fiu.edu
Min QianColumbia UniversityVerified email at cumc.columbia.edu
Richard BoothWestern University; ICES WesternVerified email at uwo.ca
Richard B KimWestern UniversityVerified email at lhsc.on.ca
Atif KhanComputer Science, University of WaterlooVerified email at uwaterloo.ca
Finnley A. Rose, PhDWestern UniversityVerified email at uwo.ca
Ute I. SchwarzVerified email at lhsc.on.ca
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaVerified email at cs.mcgill.ca
Susan ShortreedInvestigator, Biostatistics Unit, Kaiser Permanente Washington Health Research InstituteVerified email at kp.org
John A. DoucetteBloomberg, LPVerified email at bloomberg.net
Luiza AntonieUniversity of GuelphVerified email at uoguelph.ca
Kris InwoodUniversity of GuelphVerified email at uoguelph.ca

Daniel Lizotte

Associate Professor of Computer Science; Associate Professor of Epidemiology and Biostatistics

Verified email at uwo.ca

Machine Learning Reinforcement Learning Statistics Biostatistics


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Automatic Gait Optimization with Gaussian Process Regression. DJ Lizotte, T Wang, MH Bowling, D Schuurmans IJCAI 7, 944-949, 2007	356	2007
Practical bayesian optimization DJ Lizotte University of Alberta, 2008	314	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, 2011	212	2011
Intersectionality in quantitative research: A systematic review of its emergence and applications of theory and methods GR Bauer, SM Churchill, M Mahendran, C Walwyn, D Lizotte, ... SSM-population health 14, 100798, 2021	174	2021
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	169	2014
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	147	2005
Budgeted learning of naïve-Bayes classifiers DJ Lizotte, O Madani, R Greiner Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002	136*	2002
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	104	2012
Efficient Reinforcement Learning with Multiple Reward Functions for Randomized Controlled Trial Analysis. DJ Lizotte, MH Bowling, SA Murphy ICML 10, 695-702, 2010	102	2010
Set‐valued dynamic treatment regimes for competing outcomes EB Laber, DJ Lizotte, B Ferguson Biometrics 70 (1), 53-61, 2014	78	2014
An experimental methodology for response surface optimization methods DJ Lizotte, R Greiner, D Schuurmans Journal of Global Optimization 53, 699-736, 2012	75	2012
Active model selection O Madani, DJ Lizotte, R Greiner Proceedings of the 20th conference on Uncertainty in Artificial Intelligence …, 2004	72*	2004
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, 2019	66	2019
Tracking people over time in 19th century Canada for longitudinal analysis L Antonie, K Inwood, DJ Lizotte, J Andrew Ross Machine learning 95, 129-146, 2014	65	2014
On hourly home peak load prediction RP Singh, PX Gao, DJ Lizotte 2012 IEEE Third International Conference on Smart Grid Communications …, 2012	59	2012
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	57	2017
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	56	2016
The budgeted multi-armed bandit problem O Madani, DJ Lizotte, R Greiner Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff …, 2004	54	2004
Artificial intelligence and primary care research: a scoping review JK Kueper, AL Terry, M Zwarenstein, DJ Lizotte The annals of family medicine 18 (3), 250-258, 2020	37	2020
Statistical inference in dynamic treatment regimes EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy arXiv preprint arXiv:1006.5831, 2010	37	2010

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