Victor Picheny

发表

Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision

Victor Picheny, David Ginsbourger, Yann Richet, 2013, Technometrics.

From CAD to Eigenshapes for Surrogate-based Optimization

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2019 .

A Bayesian optimization approach to find Nash equilibria

Victor Picheny, Mickaël Binois, Abderrahmane Habbal, 2016, J. Glob. Optim..

Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package

Victor Picheny, David Ginsbourger, D. Ginsbourger, 2014, Comput. Stat. Data Anal..

Inferring large graphs using $$\ell _1$$ℓ1-penalized likelihood

Victor Picheny, Matthieu Vignes, Magali Champion, 2018, Stat. Comput..

A Review on Quantile Regression for Stochastic Computer Experiments

Victor Picheny, Aurélien Garivier, Robert Faivre, 2019, Reliab. Eng. Syst. Saf..

Achievable Goals in Bayesian Multi-Objective Optimization

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2018 .

Using the Efficient Global Optimization Algorithm to Assist Nuclear Criticality Safety Assessment

Victor Picheny, David Ginsbourger, Yann Richet, 2013 .

Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction

Victor Picheny, V. Picheny, 2013, Statistics and Computing.

A Stepwise uncertainty reduction approach to constrained global optimization

Victor Picheny, V. Picheny, 2014, AISTATS.

Using Cross Validation to Design Conservative Surrogates

Victor Picheny, Raphael T. Haftka, Felipe A. C. Viana, 2010 .

Conservative Prediction via Safety Margin: Design Through Cross-Validation and Benefits of Multiple Surrogates

Victor Picheny, Raphael T. Haftka, Felipe A. C. Viana, 2009, DAC 2009.

Comment: Some Enhancements Over the Augmented Lagrangian Approach

Victor Picheny, David Ginsbourger, Tipaluck Krityakierne, 2016, Technometrics.

Iterative Designs of experiments for constraint approximation

Victor Picheny, David Ginsbourger, Olivier Roustant, 2008 .

A new look at Kriging for the Approximation of Noisy Simulators with Tunable Fidelity

Victor Picheny, David Ginsbourger, Yann Richet, 2008 .

Rejoinder

Victor Picheny, David Ginsbourger, Yann Richet, 2013, Technometrics.

Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front - Extended Version pdf

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2018, ArXiv.

Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set

Victor Picheny, David Ginsbourger, Yann Richet, 2014, Technometrics.

Sunflower phenotype optimization under climatic uncertainties using crop models

Victor Picheny, Ronan Tr'epos, Bastien Poublan, 2015 .

Gears Design with Shape Uncertainties Using Controlled Monte Carlo Simulations and Kriging

Victor Picheny, David Ginsbourger, Rodolphe Le Riche, 2009 .

Adaptive Designs of Experiments for Accurate Approximation of a Target Region

Victor Picheny, David Ginsbourger, Olivier Roustant, 2010 .

X-Armed Bandits: Optimizing Quantiles and Other Risks pdf

Victor Picheny, Aurélien Garivier, Léonard Torossian, 2019, ArXiv.

Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise

Victor Picheny, Inneke Van Nieuwenhuyse, Hamed Jalali, 2017, Eur. J. Oper. Res..

Reducing dimension in Bayesian Optimization

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2020 .

Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization Under a Restricted Budget

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2018, LION.

KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging

Victor Picheny, David Ginsbourger, Clément Chevalier, 2014, Comput. Stat. Data Anal..

Optimization of black-box models with uncertain climatic inputs—Application to sunflower ideotype design

Victor Picheny, Ronan Trépos, Pierre Casadebaig, 2017, PloS one.

Revisiting the paper helicopter project using an adaptive surrogate-based approach

Victor Picheny, Rodolphe Le Riche, R. L. Riche, 2015 .

GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis

Victor Picheny, Mickaël Binois, V. Picheny, 2019, Journal of Statistical Software.

A Nonstationary Space-Time Gaussian Process Model for Partially Converged Simulations

Victor Picheny, David Ginsbourger, D. Ginsbourger, 2013, SIAM/ASA J. Uncertain. Quantification.

A Practical Guide for Conducting Calibration and Decision-Making Optimisation with Complex Ecological Models

Victor Picheny, Robert Faivre, Dimo Brockhoff, 2019 .

Targeting Well-Balanced Solutions in Bayesian Multi-Objective Optimization under a Restricted Budget

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2018 .

Construction and Efficient Implementation of Adaptive Objective-Based Designs of Experiments

Jean Baccou, Victor Picheny, Léticia Buslig, 2013, Mathematical Geosciences.

Restricting ambitions in global multi-objective optimization of costly functions

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2018 .

Some experiences about optimization with Gaussian processes

Victor Picheny, David Ginsbourger, Olivier Roustant, 2012 .

The Kalai-Smorodinsky solution for many-objective Bayesian optimization

Patrick Taillandier, Victor Picheny, Abderrahmane Habbal, 2019, J. Mach. Learn. Res..

Interpretable sparse SIR for functional data

Victor Picheny, Nathalie Villa-Vialaneix, Rémi Servien, 2016, Statistics and Computing.

Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian

Victor Picheny, Sébastien Le Digabel, Stefan M. Wild, 2016, NIPS.

Sequential design of computer experiments for the estimation of a probability of failure

Ling Li, Victor Picheny, David Ginsbourger, 2010, Statistics and Computing.

Multi-objective Bayesian optimization with reference point: sequential and parallel versions

Victor Picheny, David Gaudrie, Rodolphe Le Riche, 2019 .

Correction to: Inferring large graphs using $$\ell _{1}$$ℓ1-penalized likelihood

Victor Picheny, Matthieu Vignes, Magali Champion, 2018, Stat. Comput..

TREGO: a Trust-Region Framework for Efficient Global Optimization

Victor Picheny, Rodolphe Le Riche, Youssef Diouane, 2021 .

A game theoretic perspective on Bayesian multi-objective optimization

Victor Picheny, Abderrahmane Habbal, Mickael Binois, 2021, 2104.14456.

Revisiting Bayesian optimization in the light of the COCO benchmark

Victor Picheny, Rodolphe Le Riche, 2021, Structural and Multidisciplinary Optimization.

Fast kriging-based stepwise uncertainty reduction with application to the identification of an excursion set

Victor Picheny, David Ginsbourger, Julien Bect, 2019 .

CONSERVATIVE ESTIMATION OF PROBABILITY OF FAILURE

Jörg Peters, Victor Picheny, Nam-Ho Kim, 2006 .

Approximating computer experiments using partially converged simulations and a Gaussian process emulator

Victor Picheny, David Ginsbourger, D. Ginsbourger, 2012 .

Conservative Predictions Using Surrogate Modeling

Victor Picheny, Nam-Ho Kim, Raphael T. Haftka, 2008 .

Using numerical plant models and phenotypic correlation space to design achievable ideotypes

Victor Picheny, Robert Faivre, Evelyne Costes, 2017 .

Comparison of Kriging-Based Methods for Simulation Optimization with Heterogeneous Noise

Victor Picheny, Inneke Van Nieuwenhuyse, Hamed Jalali, 2015 .

Inferring large graphs using l1-penalized likelihood

Victor Picheny, Magali Champion, V. Picheny, 2015, 1507.02018.