Ryan P. Browne

Statistics and Probability · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 17 citations into it; #12,359 of 12,932 by trust here, #11,487 by citations
• Artificial Intelligence — 15 citations into it; #33,539 of 35,345 by trust here, #33,294 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Ryan P. Browne trusts overall

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

1. Arthur P. Dempster
2. C. Anderson‐Cook
3. Adrian E. Raftery
4. David Peel
5. Geoffrey J. McLachlan
6. Tommi S. Jaakkola
7. Chris Fraley
8. Robert E. Kass
9. William N. Venables
10. Nan M. Laird

Who trusts Ryan P. Browne overall

1. Paul David McNicholas

Papers from Ryan P. Browne's perspective

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

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
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. Estimating the Dimension of a Model
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Bayes factors
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Multivariate sharp quadratic bounds via -strong convexity and the Fenchel connection (2016)
• A mixture of generalized hyperbolic distributions (2013) — 216 citations