Genetha Anne Gray

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Genetha Anne Gray trusts overall

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

  1. Dimitri P. Bertsekas
  2. Phillip Boyle
  3. Sébastien Le Digabel

Papers from Genetha Anne Gray's perspective

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

  1. Global versus local search in constrained optimization of computer models
  2. Design and analysis of computer experiments
  3. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
  4. Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
  5. Flexibility and efficiency enhancements for constrained global design optimization with kriging approximations.
  6. Mesh Adaptive Direct Search Algorithms for Constrained Optimization
  7. Convergence Rates of Efficient Global Optimization Algorithms
  8. Constrained Optimization and Lagrange Multiplier Methods
  9. Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
  10. A surrogate-model-based method for constrained optimization

Their papers