Lingzhou Xue
Statistics and Probability · 2012–2016
A researcher in the Science corpus: 6 papers; trusts 101 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 117 citations into it; #1,944 of 12,932 by trust here, #2,800 by citations
- Artificial Intelligence — 42 citations into it; #23,377 of 35,345 by trust here, #33,294 by citations
- Economics and Econometrics — 33 citations into it; #14,725 of 23,481 by trust here, #21,405 by citations
- Computational Mechanics — 30 citations into it; #1,391 of 10,001 by trust here, #2,509 by citations
- Finance — 25 citations into it
- Management Science and Operations Research — 23 citations into it; #7,348 of 11,946 by trust here, #10,392 by citations
- Molecular Biology — 13 citations into it
- Control and Systems Engineering — 11 citations into it
Whom Lingzhou Xue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianqing Fan
- Robert Tibshirani
- Hui Zou
- Ming Yuan
- Jerome H. Friedman
- Peter J. Bickel
- Jushan Bai
- Clifford Lam
- Tommaso Cai
- James H. Stock
Who trusts Lingzhou Xue overall
- Jianqing Fan
- Clifford Lam
- Marten H. Wegkamp
- Tommaso Cai
- Jushan Bai
- Yuan Liao
- Yue Zhao
- Martin J. Wainwright
- Hui Zou
- Jiawei Yao
Papers from Lingzhou Xue's perspective
Ordered by how strongly the researchers Lingzhou Xue trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- The Adaptive Lasso and Its Oracle Properties
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- High-dimensional graphs and variable selection with the Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
Their papers
- Regularized rank-based estimation of high-dimensional nonparanormal graphical models (2012) — 274 citations
- Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices (2012) — 177 citations
- Multitask Quantile Regression under the Transnormal Model (2016) — 33 citations
- STRONG ORACLE OPTIMALITY OF FOLDED CONCAVE PENALIZED ESTIMATION (2012) — 330 citations
- Sufficient Forecasting Using Factor Models (2015) — 93 citations
- Inverse Moment Methods for Sufficient Forecasting Using High-Dimensional Predictors (2016) — 18 citations