Boris Defourny
TitleCited byYear
Multistage stochastic programming: A scenario tree based approach to planning under uncertainty
B Defourny, D Ernst, L Wehenkel
Decision theory models for applications in artificial intelligence: concepts …, 2012
Risk-aware decision making and dynamic programming
B Defourny, D Ernst, L Wehenkel
Scenario trees and policy selection for multistage stochastic programming using machine learning
B Defourny, D Ernst, L Wehenkel
INFORMS Journal on Computing 25 (3), 488-501, 2013
Probability density estimation by perturbing and combining tree structured Markov networks
S Ammar, P Leray, B Defourny, L Wehenkel
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009
High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks
S Ammar, P Leray, B Defourny, L Wehenkel
Proc. of the 4th European Workshop on Probabilistic Graphical Models (PGM08 …, 2008
A robust solution to the load curtailment problem
HP Simão, HB Jeong, B Defourny, WB Powell, A Boulanger, A Gagneja, ...
IEEE Transactions on Smart Grid 4 (4), 2209-2219, 2013
Optimal learning in linear regression with combinatorial feature selection
B Han, IO Ryzhov, B Defourny
INFORMS Journal on Computing 28 (4), 721-735, 2016
Bias-corrected Q-learning to control max-operator bias in Q-learning
D Lee, B Defourny, WB Powell
2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2013
Parallel nonstationary direct policy search for risk-averse stochastic optimization
S Moazeni, WB Powell, B Defourny, B Bouzaiene-Ayari
INFORMS Journal on Computing 29 (2), 332-349, 2017
Efficient learning of donor retention strategies for the American Red Cross
B Han, IO Ryzhov, B Defourny
Proceedings of the 2013 Winter Simulation Conference: Simulation: Making …, 2013
Supervised learning of intra-daily recourse strategies for generation management under uncertainties
B Cornelusse, G Vignal, B Defourny, L Wehenkel
2009 IEEE Bucharest PowerTech, 1-8, 2009
Lazy planning under uncertainty by optimizing decisions on an ensemble of incomplete disturbance trees
B Defourny, D Ernst, L Wehenkel
European Workshop on Reinforcement Learning, 1-14, 2008
Optimal price-threshold control for battery operation with aging phenomenon: a quasiconvex optimization approach
Y Hu, B Defourny
Annals of Operations Research, 1-28, 2017
Optimal Information Blending with Measurements in the L2 Sphere
B Defourny, IO Ryzhov, WB Powell
Mathematics of Operations Research 40 (4), 1060-1088, 2015
Near-optimality bounds for greedy periodic policies with application to grid-level storage
Y Hu, B Defourny
2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014
Ranking and selection meets robust optimization
IO Ryzhov, B Defourny, WB Powell
Proceedings of the 2012 Winter Simulation Conference (WSC), 1-11, 2012
Machine learning solution methods for multistage stochastic programming
B Defourny
Ph. D. thesis, Institut Montefiore, Université de Liege, 2010
Optimal control of energy storage under random operation permissions
S Moazeni, B Defourny
IISE Transactions 50 (8), 668-682, 2018
Risk-sensitive stochastic optimization for storage operation management
S Moazeni, B Defourny, AH Hajimiragha
2015 IEEE International Conference on Smart Energy Grid Engineering (SEGE), 1-6, 2015
Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces
B Defourny, D Ernst, L Wehenkel
2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2009
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Articles 1–20