Hanzhong Liu
Statistics and Probability · 2013–2019
A researcher in the Science corpus: 3 papers; trusts 57 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 65 citations into it; #4,665 of 12,932 by trust here, #4,650 by citations
- Artificial Intelligence — 16 citations into it; #17,762 of 35,345 by trust here, #30,347 by citations
- Causal Inference & Discovery — 11 citations into it
- Computational Mechanics — 9 citations into it
- Economics and Econometrics — 9 citations into it
- Statistical Learning Theory — 6 citations into it
- Optimization & Training — 6 citations into it
- Control and Systems Engineering — 5 citations into it
Whom Hanzhong Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nicolai Meinshausen
- Donald B. Rubin
- Robert Tibshirani
- Hui Zou
- David Freedman
- W. Lin
- Alexandre Belloni
- Jianqing Fan
- Jian Huang
- Francis R. Bach
Who trusts Hanzhong Liu overall
- Kevin Guo
- Dominik Rothenhausler
- Ruben Dezeure
- Bin Yu
- Guillaume W. Basse
- Peng Ding
- Peter Buhlmann
- Cun-Hui Zhang
- Xinran Li
- Jason A. Wu
Papers from Hanzhong Liu's perspective
Ordered by how strongly the researchers Hanzhong Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- High-dimensional graphs and variable selection with the Lasso
- The Dantzig selector: Statistical estimation when P is much larger than n
- The Adaptive Lasso and Its Oracle Properties
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Atomic Decomposition by Basis Pursuit
- On Model Selection Consistency of Lasso
- PATHWISE COORDINATE OPTIMIZATION
Their papers
- Asymptotic Properties of Lasso+mLS and Lasso+Ridge in Sparse High-dimensional Linear Regression (2013) — 89 citations
- Lasso adjustments of treatment effect estimates in randomized experiments (2015) — 189 citations
- Regression-adjusted average treatment effect estimates in stratified randomized experiments (2019) — 61 citations