Risk-Averse Stochastic Optimal Control: an efficiently computable statistical upper bound
(To appear) [view]Operations Research Letters
Yi Cheng, Alexander Shapiro, Vincent Guigues
Duality and sensitivity analysis of multistage linear stochastic programs
(2023) [view]European journal of Operational Research
Yi Cheng, Alexander Shapiro, Vincent Guigues
Pages: 752-767, Issue: 2, Volume: 308
Exact computation of the CDF of the Euclidean distance between a point and a random variable uniformly distributed in disks, balls, or polyhedrons and application to PSHA
(2022) [view]International Journal of Computational Geometry and Applications
Vincent Guigues
Pages: 119-174, Issue: 3-4, Volume: 32
On the strong concavity of the dual function of an optimization problem
(2022) [view]Journal of Convex Analysis
Vincent Guigues
Pages: 247-260, Issue: 1, Volume: 29
Stochastic Dynamic Cutting Plane for multistage stochastic convex programs
(2021) [view]Journal of Optimization Theory and Applications
Renato Monteiro, Vincent Guigues
Pages: 513-559, Issue: 2, Volume: 189
Single Cut and Multicut Stochastic Dual Dynamic Programming with Cut Selection for Multistage Stochastic Linear Programs: Convergence Proof and Numerical Experiments
(2021) [view]Computational Management Science
Michelle Bandarra, Vincent Guigues
Pages: 125-148, Issue: 2, Volume: 18
Inexact Stochastic Mirror Descent for two-stage nonlinear stochastic programs
(2021) [view]Mathematical Programming
Vincent Guigues
Pages: 533-577, Volume: 187
Multistage stochastic programs with a random number of stages: dynamic programming equations, solution methods, and application to portfolio selection
(2021) [view]Optimization Methods & Software
Vincent Guigues
Pages: 211-236, Issue: 1, Volume: 36
Inexact cuts in SDDP applied to multistage stochastic nondifferentiable problems
(2021) [view]Siam Journal on Optimization
Renato Monteiro, Benar Svaiter, Vincent Guigues
Pages: 31(3), 2084–2110, Issue: 3, Volume: 31
Constant Depth Decision Rules for multistage optimization under uncertainty
(2021) [view]European Journal of Operational Research
Anatoli Juditsky, Arkadi Nemirovski, Vincent Guigues
Pages: 223-232, Issue: 1, Volume: 295
Inexact cuts in Stochastic Dual Dynamic Programming
(2020) [view]Siam Journal on Optimization
Vincent Guigues
Pages: 407-438, Issue: 1, Volume: 30
Hypothesis Testing via Euclidean Separation
(2020) [view]Annales de l'Institut Henri Poincare
Anatoli Juditsky, Arkadi Nemirovski, Vincent Guigues
Pages: 1929-1957, Issue: 3, Volume: 56
Regularized Stochastic Dual Dynamic Programming for convex nonlinear optimization problems
(2020) [view]Optimization and Engineering
Miguel Lejeune, Wajdi Tekaya, Vincent Guigues
Pages: 1133-1165, Issue: 3, Volume: 21
Statistical inference and hypotheses testing of risk averse stochastic programs
(2018) [view]Siam Journal on Optimization
Volker Kratschmer, Alexander Shapiro, Vincent Guigues
Pages: 1337-1366, Issue: 2, Volume: 28
Change Detection via Affine and Quadratic Detectors, http://dx.doi.org/10.1214/17-EJS1373 (open access)
(2018) [view]Electronic Journal of Statistics
Yang Cao , Anatoli Juditsky, Arkadi Nemirovski, Yao Xie, Vincent Guigues
Pages: 1-57, Issue: 1, Volume: 12
Multistep stochastic mirror descent for risk-averse convex stochastic programs based on extended polyhedral risk measures
(2017) [view]Mathematical Programming
Vincent Guigues
Pages: 169-212, Volume: 163
Non-asymptotic confidence bounds for the optimal value of a stochastic program
(2017) [view]Optimization Methods & Software, paper winner of the Charles Broyden prize in 2018
Anatoli Juditsky, Arkadi Nemirovski, Vincent Guigues
Pages: 1033-1058, Issue: 5, Volume: 32
Joint dynamic probabilistic constraints with projected linear decision rules
(2017) [view]Optimization Methods & Software
Rene Henrion, Vincent Guigues
Pages: 1006-1032, Issue: 5, Volume: 32
Dual Dynamic Programing with cut selection: Convergence proof and numerical experiments
(2017) [view]European Journal of Operational Research
Vincent Guigues
Pages: 47-57, Volume: 258
Convergence Analysis of Sampling-Based Decomposition Methods for Risk-Averse Multistage Stochastic Convex Programs
(2016) [view]Siam Journal on Optimization
Vincent Guigues
Pages: 2468-2494, Volume: 26
SDDP for some interstage dependent risk-averse problems and application to hydro-thermal planning
(2014) [view]Computational Optimization and Applications
Vincent Guigues
Pages: 167-203 , Issue: 1, Volume: 57
Robust Management and Pricing of Liquefied Natural Gas Contracts with Cancelation Options
(2014) [view]Journal of Optimization Theory and Applications
Jorge Zubelli, Claudia Sagastizabal, Vincent Guigues
Pages: 179-198, Issue: 1, Volume: 161
Risk-averse feasible policies for large-scale multistage stochastic linear programs
(2013) [view]Mathematical Programming
Claudia Sagastizabal, Vincent Guigues
Pages: 167-198, Volume: 138
The value of rolling-horizon policies for risk-averse hydro-thermal planning
(2012) [view]European Journal of Operational Research
Claudia Sagastizabal, Vincent Guigues
Pages: 129-140, Volume: 217
SDDP for multistage stochastic linear programs based on spectral risk measures
(2012) [view]Operations Research Letters
Werner Romisch, Vincent Guigues
Pages: 313-318, Volume: 40
Exploiting the structure of autoregressive processes in chance-constrained multistage stochastic linear programs
(2012) [view]Operations Research Letters
Claudia Sagastizabal, Vincent Guigues
Pages: 478-483, Volume: 40
Nonparametric multivariate breakpoint detection for the means, variances, and covariances of a discrete time stochastic process
(2012) [view]Journal of Nonparametric Statistics
Vincent Guigues
Pages: 857-882, Volume: 24
Sampling-Based Decomposition Methods for Multistage Stochastic Programs Based on Extended Polyhedral Risk Measures
(2012) [view]SIAM Journal on Optimization
Werner Romisch, Vincent Guigues
Pages: 286-312, Volume: 22
A stabilized model and an efficient solution method for the yearly optimal power management (2011)
Optimization Methods & Software
Vincent Guigues
Pages: 67-88, Volume: 26
Sensitivity analysis and calibration of the covariance matrix for stable portfolio selection
(2011) [view]Computational Optimization and Applications
Vincent Guigues
Pages: 553-579, Volume: 48
Robust mid-term power generation management
(2009) [view]Optimization
Rene Aid, Pape Momar Ndiaye, Francois Oustry, Francois Romanet, Vincent Guigues
Pages: 351-371, Volume: 58
Robust production management
(2009) [view]Optimization and Engineering
Vincent Guigues
Pages: 505-532, Volume: 10
Mean and covariance matrix adaptive estimation for a weakly stationary process, Application in stochastic optimization
(2008) [view]Statistics & Decisions
Vincent Guigues
Pages: 109-143 , Volume: 26