Daniel Lizotte
Daniel Lizotte
Assistant Professor of Computer Science, University of Western Ontario
Verified email at uwo.ca
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
2732007
Practical bayesian optimization
DJ Lizotte
University of Alberta, 2008
2292008
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
1412011
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
1322005
Budgeted learning of na´ve-Bayes classifiers
DJ Lizotte, O Madani, R Greiner
Proceedings of the Nineteenth conference on Uncertainty in Artificialá…, 2002
128*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
1212014
Efficient reinforcement learning with multiple reward functions for randomized controlled trial analysis
DJ Lizotte, MH Bowling, SA Murphy
ICML, 2010
832010
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
792012
An experimental methodology for response surface optimization methods
DJ Lizotte, R Greiner, D Schuurmans
Journal of Global Optimization 53 (4), 699-736, 2012
702012
Active model selection
O Madani, DJ Lizotte, R Greiner
Proceedings of the 20th conference on Uncertainty in Artificial Intelligenceá…, 2004
64*2004
Set‐valued dynamic treatment regimes for competing outcomes
EB Laber, DJ Lizotte, B Ferguson
Biometrics 70 (1), 53-61, 2014
612014
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
482014
The budgeted multi-armed bandit problem
O Madani, DJ Lizotte, R Greiner
International Conference on Computational Learning Theory, 643-645, 2004
482004
On hourly home peak load prediction
RP Singh, PX Gao, DJ Lizotte
2012 IEEE Third International Conference on Smart Grid Communicationsá…, 2012
462012
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
352016
Statistical inference in dynamic treatment regimes
EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy
arXiv preprint arXiv:1006.5831, 2010
352010
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
342017
Stable dual dynamic programming
T Wang, M Bowling, D Schuurmans, DJ Lizotte
Advances in neural information processing systems, 1569-1576, 2008
262008
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
252019
Critiquing time-of-use pricing in Ontario
A Adepetu, E Rezaei, D Lizotte, S Keshav
2013 IEEE International Conference on Smart Grid Communicationsá…, 2013
182013
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