| 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 | 99 | 2012 |
| A risk-averse stochastic dynamic programming approach to energy hub optimal dispatch S Moazeni, AH Miragha, B Defourny IEEE Transactions on Power Systems 34 (3), 2169-2178, 2018 | 44 | 2018 |
| Risk-aware decision making and dynamic programming B Defourny, D Ernst, L Wehenkel NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning, 2008 | 42 | 2008 |
| 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 | 36 | 2013 |
| 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 | 29 | 2013 |
| 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 | 20 | 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 | 17 | 2016 |
| 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 | 15 | 2009 |
| Machine learning solution methods for multistage stochastic programming B Defourny PhD diss., University of Liege. https://www. lehigh. edu/defourny …, 2010 | 12 | 2010 |
| High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks S Ammar, P Leray, B Defourny, L Wehenkel PGM 2008, 9-16, 2008 | 12 | 2008 |
| 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 | 11 | 2017 |
| 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 | 10 | 2014 |
| 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 | 10 | 2009 |
| Optimal control of energy storage under random operation permissions S Moazeni, B Defourny IISE Transactions 50 (8), 668-682, 2018 | 9 | 2018 |
| 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 | 9 | 2017 |
| Efficient learning of donor retention strategies for the American Red Cross B Han, IO Ryzhov, B Defourny 2013 Winter Simulations Conference (WSC), 17-28, 2013 | 9 | 2013 |
| Optimal Information Blending with Measurements in the L2 Sphere B Defourny, IO Ryzhov, WB Powell Mathematics of Operations Research 40 (4), 1060-1088, 2015 | 8 | 2015 |
| 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 | 8 | 2008 |
| Ranking and selection meets robust optimization IO Ryzhov, B Defourny, WB Powell Proceedings of the 2012 Winter Simulation Conference (WSC), 1-11, 2012 | 6 | 2012 |
| Optimal predictive maintenance policy for an ocean wave farm P Pradhan, S Kishore, B Defourny IEEE Transactions on Sustainable Energy 10 (4), 1993-2004, 2018 | 5 | 2018 |
