Adam D. Bull

Statistics and Probability · 2011

A researcher in the Science corpus: 3 papers; trusts 36 researchers and is trusted by 60 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 24 citations into it; #2,892 of 12,932 by trust here, #7,914 by citations
• Artificial Intelligence — 10 citations into it; #3,228 of 35,345 by trust here, #13,760 by citations
• Applied Mathematics — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Control and Systems Engineering — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Management Science and Operations Research — 5 citations into it; #515 of 11,946 by trust here, #2,603 by citations

Whom Adam D. Bull trusts overall

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

1. Jonas Mockus
2. Evarist Gin'e
3. Ingrid Daubechies
4. Michael A. Osborne
5. Holger Wendland
6. Richard Nickl
7. Marc Hoffmann
8. Sébastien Bubeck
9. Christopher R. Genovese
10. David L. Donoho

Who trusts Adam D. Bull overall

1. Francis R. Bach
2. Ziyun Wang
3. Nando de Freitas
4. Kolyan Ray
5. Masrour Zoghi
6. Jasper Snoek
7. Richard Nickl
8. Kirthevasan Kandasamy
9. Victor Chernozhukov
10. Yang Yu

Papers from Adam D. Bull's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Regression Shrinkage and Selection via the Lasso
7. Reinforcement Learning: An Introduction
8. Attention is All you Need (Neural Information Processing Systems)
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet: A large-scale hierarchical image database

Their papers

• Convergence Rates of Efficient Global Optimization Algorithms (2011) — 719 citations
• Honest adaptive confidence bands and self-similar functions (2011) — 69 citations
• Adaptive confidence sets in $$L^2$$ (2011) — 49 citations