David Ginsbourger
Orcid: 0000-0003-2724-2678
According to our database1,
David Ginsbourger
authored at least 33 papers
between 2008 and 2023.
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Bibliography
2023
SIAM/ASA J. Uncertain. Quantification, September, 2023
Uncertainty Quantification and Experimental Design for Large-Scale Linear Inverse Problems under Gaussian Process Priors.
SIAM/ASA J. Uncertain. Quantification, March, 2023
2022
CoRR, 2022
2021
Technometrics, 2021
Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling.
J. Comput. Graph. Stat., 2021
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
2020
On the choice of the low-dimensional domain for global optimization via random embeddings.
J. Glob. Optim., 2020
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling.
CoRR, 2020
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Profile Extrema for Visualizing and Quantifying Uncertainties on Excursion Regions: Application to Coastal Flooding.
Technometrics, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
Warped Gaussian Processes and Derivative-Based Sequential Designs for Functions with Heterogeneous Variations.
SIAM/ASA J. Uncertain. Quantification, 2018
2016
Technometrics, 2016
SIAM/ASA J. Uncertain. Quantification, 2016
2015
Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations.
Eur. J. Oper. Res., 2015
Proceedings of the Machine Learning, Optimization, and Big Data, 2015
Proceedings of the Machine Learning, Optimization, and Big Data, 2015
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015
2014
Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set.
Technometrics, 2014
SIAM/ASA J. Uncertain. Quantification, 2014
Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package.
Comput. Stat. Data Anal., 2014
KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging.
Comput. Stat. Data Anal., 2014
Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2014
2013
Technometrics, 2013
J. Multivar. Anal., 2013
A Nonstationary Space-Time Gaussian Process Model for Partially Converged Simulations.
SIAM/ASA J. Uncertain. Quantification, 2013
Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection.
Proceedings of the Learning and Intelligent Optimization - 7th International Conference, 2013
2012
Sequential design of computer experiments for the estimation of a probability of failure.
Stat. Comput., 2012
High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
Expected Improvements for the Asynchronous Parallel Global Optimization of Expensive Functions: Potentials and Challenges.
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
2008
Qual. Reliab. Eng. Int., 2008