Boris Defourny

Orcid: 0000-0003-0405-5538

According to our database1, Boris Defourny authored at least 20 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Optimal price-threshold control for battery operation with aging phenomenon: a quasiconvex optimization approach.
Ann. Oper. Res., 2022

2021
The maximum diversity assortment selection problem.
Math. Methods Oper. Res., 2021

2020
Sequential Learning in Designing Marketing Campaigns for Market Entry.
Manag. Sci., 2020

2019
An active-set strategy to solve Markov decision processes with good-deal risk measure.
Optim. Lett., 2019

2018
Optimality of an affine intensity policy for maximizing the probability of an arrival count in point-process intensity control.
Oper. Res. Lett., 2018

2017
Parallel Nonstationary Direct Policy Search for Risk-Averse Stochastic Optimization.
INFORMS J. Comput., 2017

2016
Optimal Learning in Linear Regression with Combinatorial Feature Selection.
INFORMS J. Comput., 2016

2015
Optimal Information Blending with Measurements in the <i>L</i><sup>2</sup> Sphere.
Math. Oper. Res., 2015

2014
Near-optimality bounds for greedy periodic policies with application to grid-level storage.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
A Robust Solution to the Load Curtailment Problem.
IEEE Trans. Smart Grid, 2013

Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning.
INFORMS J. Comput., 2013

Efficient learning of donor retention strategies for the American Red Cross.
Proceedings of the Winter Simulations Conference: Simulation Making Decisions in a Complex World, 2013

Robust Forecasting for Unit Commitment with Wind.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

Bias-corrected Q-learning to control max-operator bias in Q-learning.
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013

2012
Ranking and selection meets robust optimization.
Proceedings of the Winter Simulation Conference, 2012

2010
Machine Learning Solution Methods for Multistage Stochastic Programming.
PhD thesis, 2010

2009
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies.
Proceedings of the Stochastic Algorithms: Foundations and Applications, 2009

Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008


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