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Daniel Lizotte
Daniel Lizotte
Associate Professor of Computer Science; Associate Professor of Epidemiology and Biostatistics
Email confirmado em uwo.ca
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Automatic Gait Optimization with Gaussian Process Regression.
DJ Lizotte, T Wang, MH Bowling, D Schuurmans
IJCAI 7, 944-949, 2007
3292007
Practical bayesian optimization
DJ Lizotte
University of Alberta, 2008
2732008
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
1872011
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
1482014
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
1402005
Budgeted learning of naïve-Bayes classifiers
DJ Lizotte, O Madani, R Greiner
Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 2002
134*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
962012
Efficient reinforcement learning with multiple reward functions for randomized controlled trial analysis
DJ Lizotte, MH Bowling, SA Murphy
ICML, 2010
962010
Set‐valued dynamic treatment regimes for competing outcomes
EB Laber, DJ Lizotte, B Ferguson
Biometrics 70 (1), 53-61, 2014
732014
An experimental methodology for response surface optimization methods
DJ Lizotte, R Greiner, D Schuurmans
Journal of Global Optimization 53 (4), 699-736, 2012
722012
Active model selection
O Madani, DJ Lizotte, R Greiner
Proceedings of the 20th conference on Uncertainty in Artificial Intelligence …, 2004
67*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
622014
On hourly home peak load prediction
RP Singh, PX Gao, DJ Lizotte
2012 IEEE Third International Conference on Smart Grid Communications …, 2012
562012
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
522016
The budgeted multi-armed bandit problem
O Madani, DJ Lizotte, R Greiner
International Conference on Computational Learning Theory, 643-645, 2004
512004
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
502019
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
452017
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
422021
Statistical inference in dynamic treatment regimes
EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy
arXiv preprint arXiv:1006.5831, 2010
392010
Stable dual dynamic programming
T Wang, M Bowling, D Schuurmans, D Lizotte
Advances in neural information processing systems 20, 2007
302007
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