Jonathan Huggins

Statistics and Probability · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #6,551 of 12,932 by trust here, #5,481 by citations
• Artificial Intelligence — 15 citations into it; #18,023 of 35,345 by trust here, #20,377 by citations
• Probabilistic & Bayesian Methods — 14 citations into it; #981 of 1,525 by trust here, #960 by citations

Whom Jonathan Huggins trusts overall

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

1. Max Welling
2. Andrew Gelman
3. Matthew D. Hoffman
4. Gareth O. Roberts
5. Dan Feldman
6. Robert Tibshirani
7. Dougal Maclaurin
8. David Arthur
9. Rémi Bardenet
10. Stefan Schaal

Who trusts Jonathan Huggins overall

1. Olivier Bachem
2. Zalán Borsos
3. Yu Chen
4. Cuong V Nguyen
5. Cenk Baykal
6. Nicolas Brosse
7. Pavel Izmailov
8. Pengzhen Ren
9. Andreas Krause
10. Moloud Abdar

Papers from Jonathan Huggins's perspective

Ordered by how strongly the researchers Jonathan Huggins 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Coresets for Scalable Bayesian Logistic Regression (2016) — 236 citations
• The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions (2019) — 30 citations