William J. Welch

Artificial Intelligence · 1997–2022

A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 190 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #20,565 of 35,345 by trust here, #24,417 by citations
• Management Science and Operations Research — 10 citations into it; #4,252 of 11,946 by trust here, #3,977 by citations
• Computational Theory and Mathematics — 9 citations into it; #6,822 of 12,182 by trust here, #6,463 by citations
• Statistics and Probability — 9 citations into it

Whom William J. Welch trusts overall

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

1. Jonas Mockus
2. Matthias Schonlau
3. Donald R. Jones
4. Harold J. Kushner
5. Bruce E. Stuckman
6. James Bergstra
7. Jasper Snoek
8. Robert B. Gramacy
9. Sayak Ray Chowdhury
10. Yoshua Bengio

Who trusts William J. Welch overall

1. M. Sasena
2. Frank Hutter
3. Donald R. Jones
4. Holger H. Hoos
5. Kirthevasan Kandasamy
6. Alexander I. J. Forrester
7. Luis Miguel Rios
8. Nando de Freitas
9. Peter I. Frazier
10. Ziyun Wang

Papers from William J. Welch's perspective

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

1. Random Search for Hyper-Parameter Optimization
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Efficient Global Optimization of Expensive Black-Box Functions
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009) — 684 citations
• Constrained Efficient Global Optimization of Expensive Black-box Functions (2022) — 1,882 citations
• Global versus local search in constrained optimization of computer models (1998)
• Efficient Global Optimization of Expensive Black-Box Functions (1998)
• Computer experiments and global optimization (1997)