Sébastien Da Veiga

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 15

Top Topics

Gaussian Process

Optimization Method

Top Venues

SIAM/ASA J. Uncertain. Quantification

Publications

Raphaël Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. AISTATS (2024)
Raphaël Carpintero Perez, Sébastien Da Veiga, Josselin Garnier, Brian Staber
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels. CoRR (2024)
Clément Bénard, Brian Staber, Sébastien Da Veiga
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization. NeurIPS (2023)
Brian Staber, Sébastien Da Veiga
Quantitative performance evaluation of Bayesian neural networks. CoRR (2022)
Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests. AISTATS (2022)
Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
Interpretable Random Forests via Rule Extraction. AISTATS (2021)
Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests. CoRR (2021)
Clément Bénard, Sébastien Da Veiga, Erwan Scornet
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA. CoRR (2021)
Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
Interpretable Random Forests via Rule Extraction. CoRR (2020)
Sébastien Da Veiga, Amandine Marrel
Gaussian process regression with linear inequality constraints. Reliab. Eng. Syst. Saf. 195 (2020)
Adrien Spagnol, Rodolphe Le Riche, Sébastien Da Veiga
Global Sensitivity Analysis for Optimization with Variable Selection. SIAM/ASA J. Uncertain. Quantification 7 (2) (2019)
Clément Bénard, Gérard Biau, Sébastien Da Veiga, Erwan Scornet
SIRUS: making random forests interpretable. CoRR (2019)
Thi-Thoi Tran, Delphine Sinoquet, Sébastien Da Veiga, Marcel Mongeau
An Adapted Derivative-Free Optimization Method for an Optimal Design Application with Mixed Binary and Continuous Variables. ICCSAMA (2019)
Raphaël Deswarte, Véronique Gervais, Gilles Stoltz, Sébastien Da Veiga
Sequential model aggregation for production forecasting. CoRR (2018)
Adrien Spagnol, Rodolphe Le Riche, Sébastien Da Veiga
Global sensitivity analysis for optimization with variable selection. CoRR (2018)
Ratiba Derfoul, Sébastien Da Veiga, Christian Gout, Carole Le Guyader, Elodie Tillier
Image processing tools for better incorporation of 4D seismic data into reservoir models. J. Comput. Appl. Math. 240 (2013)
Sébastien Da Veiga
Global Sensitivity Analysis with Dependence Measures. CoRR (2013)
Elodie Tillier, Sébastien Da Veiga, Ratiba Derfoul
Appropriate formulation of the objective function for the history matching of seismic attributes. Comput. Geosci. 51 (2013)
Amandine Marrel, Bertrand Iooss, Sébastien Da Veiga, Mathieu Ribatet
Global sensitivity analysis of stochastic computer models with joint metamodels. Stat. Comput. 22 (3) (2012)
Mickaële Le Ravalec-Dupin, Sébastien Da Veiga
Cosimulation as a perturbation method for calibrating porosity and permeability fields to dynamic data. Comput. Geosci. 37 (9) (2011)
Sébastien Da Veiga, François Wahl, Fabrice Gamboa
Local Polynomial Estimation for Sensitivity Analysis on Models With Correlated Inputs. Technometrics 51 (4) (2009)