Yang Ning

Statistics and Probability · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 73 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 119 citations into it; #3,007 of 12,932 by trust here, #4,964 by citations
• Artificial Intelligence — 30 citations into it
• Computational Mechanics — 20 citations into it; #8,223 of 10,001 by trust here, #8,566 by citations
• Statistical Learning Theory — 17 citations into it
• Causal Inference & Discovery — 12 citations into it
• Economics and Econometrics — 7 citations into it
• Applied Mathematics — 6 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Yang Ning trusts overall

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

1. Victor Chernozhukov
2. Alexandre Belloni
3. Cun-Hui Zhang
4. Sara A. van de Geer
5. Adel Javanmard
6. Zhiqiang Tan
7. Robert Tibshirani
8. Jianqing Fan
9. Martin J. Wainwright
10. Francis R. Bach

Who trusts Yang Ning overall

1. Victor Chernozhukov
2. Yinchu Zhu
3. Susan Athey
4. Whitney K. Newey
5. Matey Neykov
6. Ezequiel Smucler
7. Jelena Bradic
8. Guido W. Imbens
9. Rahul Singh
10. Stefan Wager

Papers from Yang Ning's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. The Dantzig selector: Statistical estimation when P is much larger than n
6. Gradient-based learning applied to document recognition
7. On Model Selection Consistency of Lasso
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. On asymptotically optimal confidence regions and tests for high-dimensional models
10. Asymptotics for lasso-type estimators

Their papers

• A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models (2014) — 350 citations
• A Unified Theory of Confidence Regions and Testing for High-Dimensional Estimating Equations (2015) — 81 citations
• Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score. (2018) — 100 citations