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Defourny Boris

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Main Referenced Co-authors
Wehenkel, Louis  (10)
Ernst, Damien  (5)
Ammar, Sourour (2)
Leray, Philippe (2)
Cornélusse, Bertrand  (1)
Main Referenced Keywords
Graphical Models (2); Machine Learning (2); Sequential decision making under uncertainty (2); stochastic programming (2); disturbance trees (1);
Main Referenced Unit & Research Centers
Systems and Modeling Research Unit (3)
Systems and Modeling (1)
Main Referenced Disciplines
Computer science (9)
Electrical & electronics engineering (2)

Publications (total 11)

The most downloaded
1435 downloads
Defourny, B., Ernst, D., & Wehenkel, L. (2011). Multistage stochastic programming: A scenario tree based approach to planning under uncertainty. In L. E. Sucar, E. F. Morales, ... J. Hoey (Eds.), Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions. Hershey, United States - Pennsylvania: Information Science Publishing. doi:10.4018/978-1-60960-165-2.ch006 https://hdl.handle.net/2268/80246

The most cited

52 citations (Scopus®)

Defourny, B., Ernst, D., & Wehenkel, L. (2011). Multistage stochastic programming: A scenario tree based approach to planning under uncertainty. In L. E. Sucar, E. F. Morales, ... J. Hoey (Eds.), Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions. Hershey, United States - Pennsylvania: Information Science Publishing. doi:10.4018/978-1-60960-165-2.ch006 https://hdl.handle.net/2268/80246

Defourny, B., Ernst, D., & Wehenkel, L. (2011). Multistage stochastic programming: A scenario tree based approach to planning under uncertainty. In L. E. Sucar, E. F. Morales, ... J. Hoey (Eds.), Decision Theory Models for Applications in Artificial Intelligence: Concepts and Solutions. Hershey, United States - Pennsylvania: Information Science Publishing. doi:10.4018/978-1-60960-165-2.ch006
Peer reviewed

Defourny, B. (2010). Machine Learning Solution Methods for Multistage Stochastic Programming [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/82450

Defourny, B., & Wehenkel, L. (December 2009). Large Margin Classification with the Progressive Hedging Algorithm [Paper presentation]. Second NIPS Workshop on Optimization for Machine Learning, Whistler, Canada.

Ammar, S., Leray, P., Defourny, B., & Wehenkel, L. (2009). Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks. In Proc. of ECSQARU '09: 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (pp. 158-167). Springer.
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2009). Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces. In Proceedings of the IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL-09) (pp. 145-152). doi:10.1109/ADPRL.2009.4927538
Peer reviewed

Cornélusse, B., Vignal, G., Defourny, B., & Wehenkel, L. (2009). Supervised learning of intra-daily recourse strategies for generation management under uncertainties. In PowerTech, 2009 IEEE Bucharest (pp. 1-8). doi:10.1109/PTC.2009.5282226
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2009). Bounds for Multistage Stochastic Programs using Supervised Learning Strategies. In O. Watanabe & T. Zeugmann (Eds.), Stochastic Algorithms: Foundations and Applications (pp. 61-73). Springer. doi:10.1007/978-3-642-04944-6_6
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2008). Lazy planning under uncertainty by optimizing decisions on an ensemble of incomplete disturbance trees. In B. Defourny, D. Ernst, ... L. Wehenkel, Recent Advances in Reinforcement Learning (pp. 1-14). doi:10.1007/978-3-540-89722-4_1
Peer reviewed

Ammar, S., Leray, P., Defourny, B., & Wehenkel, L. (2008). High-dimensional probability density estimation with randomized ensembles of tree structured bayesian networks. In Proc. of the 4th European Workshop on Probabilistic Graphical Models (PGM08) (pp. 9-16).
Peer reviewed

Defourny, B., Ernst, D., & Wehenkel, L. (2008). Risk-aware decision making and dynamic programming [Paper presentation]. NIPS-08 Workshop on Model Uncertainty and Risk in Reinforcement Learning, Whistler, Canada.

Defourny, B., & Wehenkel, L. (March 2007). Projecting Generation Decisions Induced by a Stochastic Program on a Family of Supply Curve Functions [Paper presentation]. Third Carnegie Mellon Conference on the Electricity Industry, Pittsburgh, United States - Pennsylvania.

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