עקוב אחר
Mickael Binois
Mickael Binois
Inria Sophia Antipolis - Méditerranée
כתובת אימייל מאומתת בדומיין inria.fr - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Practical heteroscedastic gaussian process modeling for large simulation experiments‏
M Binois, RB Gramacy, M Ludkovski‏
Journal of Computational and Graphical Statistics 27 (4), 808-821, 2018‏
2392018
Replication or exploration? Sequential design for stochastic simulation experiments‏
M Binois, J Huang, RB Gramacy, M Ludkovski‏
Technometrics 61 (1), 7-23, 2019‏
1472019
A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization‏
M Binois, N Wycoff‏
ACM Transactions on Evolutionary Learning and Optimization 2 (2), 1-26, 2022‏
1442022
Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations‏
M Binois, D Ginsbourger, O Roustant‏
European Journal of Operational Research 243 (2), 386-394, 2015‏
862015
On the choice of the low-dimensional domain for global optimization via random embeddings‏
M Binois, D Ginsbourger, O Roustant‏
Journal of global optimization 76 (1), 69-90, 2020‏
732020
hetGP: Heteroskedastic Gaussian Process Modeling and Sequential Design in R‏
M Binois, RB Gramacy‏
52*
A population data-driven workflow for COVID-19 modeling and learning‏
J Ozik, JM Wozniak, N Collier, CM Macal, M Binois‏
The International Journal of High Performance Computing Applications 35 (5 …, 2021‏
462021
A warped kernel improving robustness in Bayesian optimization via random embeddings‏
M Binois, D Ginsbourger, O Roustant‏
Learning and Intelligent Optimization: 9th International Conference, LION 9 …, 2015‏
462015
GPareto: An R Package for Gaussian-Process-Based Multi-Objective Optimization and Analysis‏
M Binois, V Picheny‏
Journal of Statistical Software 89 (8), 2019‏
422019
A Bayesian optimization approach to find Nash equilibria‏
V Picheny, M Binois, A Habbal‏
Journal of Global Optimization 73, 171-192, 2019‏
412019
Sequential learning of active subspaces‏
N Wycoff, M Binois, SM Wild‏
Journal of Computational and Graphical Statistics, 1-33, 2021‏
352021
hetGP: Heteroskedastic Gaussian Process Modeling and Design under Replication‏
M Binois, RB Gramacy‏
R package version 1 (1), 2017‏
322017
Multiobjective statistical learning optimization of RGB metalens‏
MMR Elsawy, A Gourdin, M Binois, R Duvigneau, D Felbacq, S Khadir, ...‏
ACS Photonics 8 (8), 2498-2508, 2021‏
312021
Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation‏
X Lyu, M Binois, M Ludkovski‏
Statistics and Computing 31 (4), 1-21, 2021‏
292021
The Kalai-Smorodinsky solution for many-objective Bayesian optimization‏
M Binois, V Picheny, P Taillandier, A Habbal‏
Journal of Machine Learning Research 21 (150), 1-42, 2020‏
252020
Uncertainty quantification on pareto fronts and high-dimensional strategies in bayesian optimization, with applications in multi-objective automotive design‏
M Binois‏
Ecole Nationale Supérieure des Mines de Saint-Etienne, 2015‏
222015
Parameter and uncertainty estimation for dynamical systems using surrogate stochastic processes‏
M Chung, M Binois, RB Gramacy, JM Bardsley, DJ Moquin, AP Smith, ...‏
SIAM Journal on Scientific Computing 41 (4), A2212-A2238, 2019‏
212019
On the estimation of Pareto fronts from the point of view of copula theory‏
M Binois, D Rullière, O Roustant‏
Information Sciences 324, 270-285, 2015‏
212015
On‐site surrogates for large‐scale calibration‏
J Huang, RB Gramacy, M Binois, M Libraschi‏
Applied Stochastic Models in Business and Industry 36 (2), 283-304, 2020‏
162020
GPareto: Gaussian processes for pareto front estimation and optimization‏
M Binois, V Picheny‏
R package version 1 (2), 2016‏
162016
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20