Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artigo
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GPareto : An R Package for Gaussian-Process-Based Multi-Objective Optimization and AnalysisBinois, Mickaël ; Picheny, VictorJournal of statistical software, 2019, Vol.89 (8), p.1-30 [Periódico revisado por pares]University of California, Los AngelesTexto completo disponível |
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2 |
Material Type: Artigo
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Practical Heteroscedastic Gaussian Process Modeling for Large Simulation ExperimentsBinois, Mickaël ; Gramacy, Robert B. ; Ludkovski, MikeJournal of computational and graphical statistics, 2018-10, Vol.27 (4), p.808-821 [Periódico revisado por pares]Taylor & FrancisTexto completo disponível |
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3 |
Material Type: Artigo
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hetGP : Heteroskedastic Gaussian Process Modeling and Sequential Design in RBinois, Mickaël ; Gramacy, Robert B.Journal of statistical software, 2021, Vol.98 (13), p.1-44 [Periódico revisado por pares]University of California, Los AngelesTexto completo disponível |
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4 |
Material Type: Artigo
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On the choice of the low-dimensional domain for global optimization via random embeddingsBinois, Mickaël ; Ginsbourger, David ; Roustant, OlivierJournal of global optimization, 2020, Vol.76 (1), p.69-90 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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5 |
Material Type: Artigo
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A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian OptimizationBinois, Mickaël ; Wycoff, NathanACM transactions on evolutionary learning, 2022-08, Vol.2 (2), p.1-26, Article 8 [Periódico revisado por pares]New York, NY: ACMSem texto completo |
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6 |
Material Type: Artigo
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Replication or Exploration? Sequential Design for Stochastic Simulation ExperimentsBinois, Mickaël ; Huang, Jiangeng ; Gramacy, Robert B. ; Ludkovski, MikeTechnometrics, 2019-01, Vol.61 (1), p.7-23 [Periódico revisado por pares]Alexandria: Taylor & FrancisTexto completo disponível |
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7 |
Material Type: Artigo
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Evaluating Gaussian process metamodels and sequential designs for noisy level set estimationLyu, Xiong ; Binois, Mickaël ; Ludkovski, MichaelStatistics and computing, 2021-07, Vol.31 (4), Article 43 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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8 |
Material Type: Artigo
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A Bayesian optimization approach to find Nash equilibriaPicheny, Victor ; Binois, Mickael ; Habbal, AbderrahmaneJournal of global optimization, 2019-01, Vol.73 (1), p.171-192 [Periódico revisado por pares]New York: Springer USTexto completo disponível |
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9 |
Material Type: Artigo
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Geometrically consistent aerodynamic optimization using an isogeometric Discontinuous Galerkin methodPezzano, Stefano ; Duvigneau, Régis ; Binois, MickaëlComputers & mathematics with applications (1987), 2022-12, Vol.128, p.368-381 [Periódico revisado por pares]Elsevier LtdTexto completo disponível |
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10 |
Material Type: Artigo
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A population data-driven workflow for COVID-19 modeling and learningOzik, Jonathan ; Wozniak, Justin M ; Collier, Nicholson ; Macal, Charles M ; Binois, MickaëlThe international journal of high performance computing applications, 2021-09, Vol.35 (5), p.483-499 [Periódico revisado por pares]London, England: SAGE PublicationsTexto completo disponível |