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
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
Luiza AntonieUniversity of GuelphVerified email at uoguelph.ca
Kris InwoodUniversity of GuelphVerified email at uoguelph.ca
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
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
Nasser Mohieddin AbukhdeirAssociate Professor, Chemical Engineering, University of WaterlooVerified email at uwaterloo.ca
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

Daniel Lizotte

Assistant Professor of Computer Science, University of Western Ontario

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	298	2007
Practical bayesian optimization DJ Lizotte University of Alberta, 2008	259	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	169	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	135	2005
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	134	2014
Budgeted learning of naïve-Bayes classifiers DJ Lizotte, O Madani, R Greiner Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002	133*	2002
Efficient reinforcement learning with multiple reward functions for randomized controlled trial analysis DJ Lizotte, MH Bowling, SA Murphy ICML, 2010	88	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	87	2012
An experimental methodology for response surface optimization methods DJ Lizotte, R Greiner, D Schuurmans Journal of Global Optimization 53 (4), 699-736, 2012	71	2012
Set‐valued dynamic treatment regimes for competing outcomes EB Laber, DJ Lizotte, B Ferguson Biometrics 70 (1), 53-61, 2014	66	2014
Active model selection O Madani, DJ Lizotte, R Greiner Proceedings of the 20th conference on Uncertainty in Artificial Intelligence …, 2004	65*	2004
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	55	2014
The budgeted multi-armed bandit problem O Madani, DJ Lizotte, R Greiner International Conference on Computational Learning Theory, 643-645, 2004	53	2004
On hourly home peak load prediction RP Singh, PX Gao, DJ Lizotte 2012 IEEE Third International Conference on Smart Grid Communications …, 2012	50	2012
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	43	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	39	2017
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	38	2019
Statistical inference in dynamic treatment regimes EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy arXiv preprint arXiv:1006.5831, 2010	36	2010
Stable dual dynamic programming T Wang, M Bowling, D Schuurmans, DJ Lizotte Advances in neural information processing systems, 1569-1576, 2008	31	2008
Critiquing time-of-use pricing in Ontario A Adepetu, E Rezaei, D Lizotte, S Keshav 2013 IEEE International Conference on Smart Grid Communications …, 2013	18	2013

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