Jiawei Yao

Statistics and Probability · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 47 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 31 citations into it
• Economics and Econometrics — 28 citations into it; #14,726 of 23,481 by trust here, #21,405 by citations
• Finance — 21 citations into it
• Artificial Intelligence — 16 citations into it
• Management Science and Operations Research — 15 citations into it; #7,349 of 11,946 by trust here, #10,392 by citations

Whom Jiawei Yao trusts overall

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

1. Jushan Bai
2. Jianqing Fan
3. James H. Stock
4. Serena Ng
5. Mark W. Watson
6. Clifford Lam
7. M. Forni
8. Marc Hallin
9. Lingzhou Xue
10. Ker-Chau Li

Who trusts Jiawei Yao overall

1. M. Ugur Gudelek
2. Omer Berat Sezer
3. A. Ozbayoglu
4. Wei Luo
5. Lingzhou Xue

Papers from Jiawei Yao's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Learning Deep Architectures for AI
3. Inferential Theory for Factor Models of Large Dimensions
4. Determining the Number of Factors in Approximate Factor Models
5. ImageNet classification with deep convolutional neural networks
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Nber Working Paper Series Measuring the Effects of Monetary Policy : a Factor-augmented Vector Autoregressive ( Favar ) Approach
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Are more data always better for factor analysis

Their papers

• Sufficient Forecasting Using Factor Models (2015) — 93 citations
• Inverse Moment Methods for Sufficient Forecasting Using High-Dimensional Predictors (2016) — 18 citations