Daniel Lizotte
Daniel Lizotte
Associate Professor of Computer Science; Associate Professor of Epidemiology and Biostatistics
Verified email at
Cited by
Cited by
Automatic Gait Optimization with Gaussian Process Regression.
DJ Lizotte, T Wang, MH Bowling, D Schuurmans
IJCAI 7, 944-949, 2007
Practical bayesian optimization
DJ Lizotte
University of Alberta, 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), 109-136, 2011
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
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
Budgeted learning of na´ve-Bayes classifiers
DJ Lizotte, O Madani, R Greiner
Proceedings of the Nineteenth conference on Uncertainty in Artificialá…, 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
Efficient reinforcement learning with multiple reward functions for randomized controlled trial analysis
DJ Lizotte, MH Bowling, SA Murphy
ICML, 2010
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
Set‐valued dynamic treatment regimes for competing outcomes
EB Laber, DJ Lizotte, B Ferguson
Biometrics 70 (1), 53-61, 2014
An experimental methodology for response surface optimization methods
DJ Lizotte, R Greiner, D Schuurmans
Journal of Global Optimization 53 (4), 699-736, 2012
Active model selection
O Madani, DJ Lizotte, R Greiner
Proceedings of the 20th conference on Uncertainty in Artificial Intelligenceá…, 2004
Tracking people over time in 19th century Canada for longitudinal analysis
L Antonie, K Inwood, DJ Lizotte, J Andrew Ross
Machine learning 95 (1), 129-146, 2014
On hourly home peak load prediction
RP Singh, PX Gao, DJ Lizotte
2012 IEEE Third International Conference on Smart Grid Communicationsá…, 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
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
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
The budgeted multi-armed bandit problem
O Madani, DJ Lizotte, R Greiner
International Conference on Computational Learning Theory, 643-645, 2004
Statistical inference in dynamic treatment regimes
EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy
arXiv preprint arXiv:1006.5831, 2010
Stable dual dynamic programming
T Wang, M Bowling, D Schuurmans, D Lizotte
Advances in neural information processing systems 20, 2007
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