Yann Richet

Computational Theory and Mathematics · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yann Richet trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Robert B. Gramacy
  2. Marc C. Kennedy
  3. Herbert K. H. Lee
  4. Joerg M. Gablonsky
  5. Peter Z. G. Qian

Papers from Yann Richet's perspective

Ordered by how strongly the researchers Yann Richet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Efficient Global Optimization of Expensive Black-Box Functions
  2. Global versus local search in constrained optimization of computer models
  3. Predicting the output from a complex computer code when fast approximations are available
  4. A Locally-Biased form of the DIRECT Algorithm (Journal of Global Optimization)
  5. Cases for the nugget in modeling computer experiments (Statistics and computing)
  6. Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models
  7. Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments (Technometrics)
  8. Multi-fidelity optimization via surrogate modelling
  9. Towards Global Optimisation 2
  10. Optimization Under Unknown Constraints

Their papers