Vincent Guigues

Researcher in optimization and statistics. Software engineer

Preprints

  • Allocation and operation of an ambulance fleet under uncertainty (2022) [view]
    Anton Kleywegt, Victor Hugo Nascimento, Vincent Guigues
  • A single cut proximal bundle method for stochastic convex composite optimization (2022) [view]
    Jiaming Liang, Renato Monteiro, Vincent Guigues

Publications

  • 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