Ronald Christensen

Statistics and Probability · 1 papers · 2019

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 76 citations into it
• Artificial Intelligence — 29 citations into it
• Computational Mechanics — 27 citations into it
• Applied Mathematics — 17 citations into it; #5,940 of 7,620 by trust here, #6,241 by citations
• Statistical Learning Theory — 13 citations into it; #890 of 1,038 by trust here, #985 by citations
• Numerical Analysis — 11 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it; #9,362 of 12,182 by trust here, #10,349 by citations

Whom Ronald Christensen trusts overall

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

1. Robert Tibshirani
2. David L. Donoho
3. E.J. Candes
4. Martin J. Wainwright
5. Julian Besag
6. Jerome H. Friedman
7. Trevor J. Hastie
8. Shahar Mendelson
9. Ming Yuan
10. Hui Zou

Who trusts Ronald Christensen overall

1. Francis R. Bach
2. Dag Tjøstheim
3. Matthew Tancik

Papers from Ronald Christensen's perspective

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

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

Their papers

• Reproducing kernel Hilbert spaces (2019) — 185 citations