Herbert K. H. Lee

Artificial Intelligence · 2004–2014

A researcher in the Science corpus: 5 papers; trusts 31 researchers and is trusted by 67 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #3,514 of 35,345 by trust here, #10,942 by citations
• Statistics and Probability — 13 citations into it; #1,114 of 12,932 by trust here, #3,177 by citations
• Environmental Engineering — 12 citations into it; #248 of 5,479 by trust here, #2,092 by citations
• Management Science and Operations Research — 12 citations into it; #2,203 of 11,946 by trust here, #4,921 by citations
• Computational Theory and Mathematics — 7 citations into it; #1,142 of 12,182 by trust here, #2,629 by citations
• Economics and Econometrics — 5 citations into it
• Statistical Learning Theory — 5 citations into it

Whom Herbert K. H. Lee trusts overall

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

1. Robert B. Gramacy
2. Hugh A. Chipman
3. Anthony OʼHagan
4. Montserrat Fuentes
5. Bernard Walter Silverman
6. Thomas J. Santner
7. Ken Perlin
8. Alexandra M. Schmidt
9. David John Cameron MacKay
10. Michael L. Stein

Who trusts Herbert K. H. Lee overall

1. Robert B. Gramacy
2. Jasper Snoek
3. Victor Picheny
4. Shan Ba
5. Liangyuan Hu
6. Tony Pourmohamad
7. Haitao Liu
8. Yinhao Zhu
9. David Ginsbourger
10. Matthias Katzfuss

Papers from Herbert K. H. Lee's perspective

Ordered by how strongly the researchers Herbert K. H. Lee trusts endorse each paper. Same corpus, a different order for every researcher.

1. Design and analysis of computer experiments
2. Non-Stationary Spatial Modeling
3. Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
4. Global versus local search in constrained optimization of computer models
5. Interpolation of spatial data
6. Spatial modelling using a new class of nonstationary covariance functions (Environmetrics)
7. Information-Based Objective Functions for Active Data Selection
8. Diagnostics for Gaussian Process Emulators (Technometrics)
9. Spectral methods for nonstationary spatial processes
10. The Design and Analysis of Computer Experiments (Springer Series in Statistics)

Their papers

• Optimization Under Unknown Constraints (2010) — 165 citations
• Parameter space exploration with Gaussian process trees (2004) — 82 citations
• Modeling an augmented Lagrangian for improved blackbox constrained optimization (2014) — 11 citations
• Bayesian Treed Gaussian Process Models With an Application to Computer Modeling (2007) — 734 citations
• Cases for the nugget in modeling computer experiments (2010) — 303 citations