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
2282007
Practical bayesian optimization
DJ Lizotte
University of Alberta, 2008
1842008
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
1212005
Budgeted learning of na´ve-Bayes classifiers
DJ Lizotte, O Madani, R Greiner
Proceedings of the Nineteenth conference on Uncertainty in Artificialá…, 2002
116*2002
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
1042011
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
982014
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 (ICMLá…, 2010
722010
An experimental methodology for response surface optimization methods
DJ Lizotte, R Greiner, D Schuurmans
Journal of Global Optimization 53 (4), 699-736, 2012
622012
Linear fitted-q iteration with multiple reward functions
DJ Lizotte, M Bowling, SA Murphy
Journal of Machine Learning Research 13 (Nov), 3253-3295, 2012
612012
Active model selection
O Madani, DJ Lizotte, R Greiner
Proceedings of the 20th conference on Uncertainty in Artificial Intelligenceá…, 2004
612004
Set‐valued dynamic treatment regimes for competing outcomes
EB Laber, DJ Lizotte, B Ferguson
Biometrics 70 (1), 53-61, 2014
482014
The budgeted multi-armed bandit problem
O Madani, DJ Lizotte, R Greiner
International Conference on Computational Learning Theory, 643-645, 2004
462004
On hourly home peak load prediction
RP Singh, PX Gao, DJ Lizotte
2012 IEEE Third International Conference on Smart Grid Communicationsá…, 2012
382012
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
342014
Statistical inference in dynamic treatment regimes
EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy
arXiv preprint arXiv:1006.5831, 2010
342010
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
242017
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
242016
Lower bounds for exact model counting and applications in probabilistic databases
P Beame, J Li, S Roy, D Suciu
arXiv preprint arXiv:1309.6815, 2013
222013
Stable dual dynamic programming
T Wang, M Bowling, D Schuurmans, DJ Lizotte
Advances in neural information processing systems, 1569-1576, 2008
192008
Critiquing time-of-use pricing in Ontario
A Adepetu, E Rezaei, D Lizotte, S Keshav
2013 IEEE International Conference on Smart Grid Communicationsá…, 2013
162013
The system can't perform the operation now. Try again later.
Articles 1–20