Scott J. Bury

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Scott J. Bury trusts overall

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

  1. Reuven Y. Rubinstein
  2. Nikolaus Hansen
  3. Donald R. Jones
  4. Jonas Mockus
  5. Tim Hesterberg
  6. R. H. Smith
  7. Jack P. C. Kleijnen

Papers from Scott J. Bury's perspective

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

  1. Efficient Global Optimization of Expensive Black-Box Functions
  2. A Stochastic Approximation Method
  3. The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation, and Machine Learning
  4. A Tutorial on the Cross-Entropy Method
  5. Active Learning with Statistical Models
  6. A Simplex Method for Function Minimization
  7. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)
  8. Multivariate stochastic approximation using a simultaneous perturbation gradient approximation
  9. The CMA Evolution Strategy: A Comparing Review
  10. Discrete Event Systems: Sensitivity Analysis and Stochastic Optimization by the Score Function Method

Their papers