Ryan Giordano

Statistics and Probability · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 19 citations into it; #6,150 of 12,932 by trust here, #7,508 by citations
• Artificial Intelligence — 17 citations into it; #14,054 of 35,345 by trust here, #20,377 by citations
• Probabilistic & Bayesian Methods — 9 citations into it
• Economics and Econometrics — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Ryan Giordano trusts overall

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

1. D. M. Titterington
2. J. Hadfield
3. Bradley Efron
4. Yann LeCun
5. Michael I. Jordan
6. Manfred Opper
7. Hilbert J. Kappen
8. Andreas Wächter
9. Miles Lubin
10. Atilim Gunes Baydin

Who trusts Ryan Giordano overall

1. Aditya Golatkar
2. Alessandro Achille
3. Mingzhang Yin
4. Dustin Tran
5. Rajesh Ranganath
6. Iain Dunning
7. Tamara Broderick
8. Zhiyun Lu
9. David M. Blei
10. Jia Zhao

Papers from Ryan Giordano's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes (2015) — 89 citations
• A Swiss Army Infinitesimal Jackknife (2018) — 122 citations
• An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference? (2020) — 49 citations