Victor Picheny, Ph.D.
Affiliations: | 2009 | University of Florida, Gainesville, Gainesville, FL, United States |
Area:
Mechanical Engineering, Applied MathematicsGoogle:
"Victor Picheny"Parents
Sign in to add mentor| Raphael T. Haftka | grad student | 2009 | UF Gainesville | |
| (Improving accuracy and compensating for uncertainty in surrogate modeling.) | ||||
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Publications
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| Torossian L, Picheny V, Faivre R, et al. (2020) A review on quantile regression for stochastic computer experiments Reliability Engineering & System Safety. 201: 106858 |
| Bachoc F, Helbert C, Picheny V. (2020) Gaussian process optimization with failures: classification and convergence proof Journal of Global Optimization. 1-24 |
| Gaudrie D, Riche RL, Picheny V, et al. (2020) Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions Annals of Mathematics and Artificial Intelligence. 88: 187-212 |
| Gaudrie D, Riche RL, Picheny V, et al. (2020) Modeling and Optimization with Gaussian Processes in Reduced Eigenbases Structural and Multidisciplinary Optimization. 61: 2343-2361 |
| Binois M, Picheny V. (2019) GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis Journal of Statistical Software. 89: 1-30 |
| Picheny V, Servien R, Villa-Vialaneix N. (2019) Interpretable sparse SIR for functional data Statistics and Computing. 29: 255-267 |
| Picheny V, Binois M, Habbal A. (2019) A Bayesian optimization approach to find Nash equilibria Journal of Global Optimization. 73: 171-192 |
| Labopin-Richard T, Picheny V. (2018) Sequential design of experiments for estimating percentiles of black-box functions Statistica Sinica. 28 |
| Champion M, Picheny V, Vignes M. (2018) Inferring large graphs using $$\ell _1$$-penalized likelihood Statistics and Computing. 28: 905-921 |
| Picheny V, Casadebaig P, Trépos R, et al. (2017) Using numerical plant models and phenotypic correlation space to design achievable ideotypes. Plant, Cell & Environment |