Yuling Yao

Statistics and Probability · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 84 citations into it; #8,322 of 12,932 by trust here, #7,165 by citations
• Artificial Intelligence — 79 citations into it; #21,492 of 35,345 by trust here, #22,463 by citations
• Probabilistic & Bayesian Methods — 29 citations into it
• Management Science and Operations Research — 19 citations into it
• Economics and Econometrics — 17 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Control and Systems Engineering — 7 citations into it
• Global and Planetary Change — 7 citations into it

Whom Yuling Yao trusts overall

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

1. Andrew Gelman
2. Aki Vehtari
3. Leo Breiman
4. David M. Blei
5. Juho Piironen
6. David Hilton Wolpert
7. Tilmann Gneiting
8. Radford M. Neal
9. Alp Kucukelbir
10. Tomohiro Ando

Who trusts Yuling Yao overall

1. Aki Vehtari
2. Andrew Gelman
3. Natalie M. Linton
4. Jonah Gabry
5. Daniel P. Simpson

Papers from Yuling Yao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
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. GENERATIVE ADVERSARIAL NETS
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Using Stacking to Average Bayesian Predictive Distributions (with Discussion) (2017) — 424 citations
• Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors (2020) — 79 citations
• Bayesian Workflow (2020) — 344 citations