Daniel Lizotte
Daniel Lizotte
Associate Professor of Computer Science; Associate Professor of Epidemiology and Biostatistics
Adresă de e-mail confirmată pe uwo.ca
Citat de
Citat de
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 (1-2), 109, 2011
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
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 naïve-Bayes classifiers
DJ Lizotte, O Madani, R Greiner
Proceedings of the Nineteenth conference on Uncertainty in Artificial …, 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 10, 695-702, 2010
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, 699-736, 2012
Active model selection
O Madani, DJ Lizotte, R Greiner
Proceedings of the 20th conference on Uncertainty in Artificial Intelligence …, 2004
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, 2019
Tracking people over time in 19th century Canada for longitudinal analysis
L Antonie, K Inwood, DJ Lizotte, J Andrew Ross
Machine learning 95, 129-146, 2014
On hourly home peak load prediction
RP Singh, PX Gao, DJ Lizotte
2012 IEEE Third International Conference on Smart Grid Communications …, 2012
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
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
The budgeted multi-armed bandit problem
O Madani, DJ Lizotte, R Greiner
Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff …, 2004
Artificial intelligence and primary care research: a scoping review
JK Kueper, AL Terry, M Zwarenstein, DJ Lizotte
The annals of family medicine 18 (3), 250-258, 2020
Statistical inference in dynamic treatment regimes
EB Laber, M Qian, DJ Lizotte, WE Pelham, SA Murphy
arXiv preprint arXiv:1006.5831, 2010
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