Chao Gao
Statistics and Probability · with Chen · 2015–2021
A researcher in the Science corpus: 5 papers; trusts 46 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 51 citations into it; #4,475 of 12,932 by trust here, #6,853 by citations
- Computational Mechanics — 20 citations into it; #8,087 of 10,001 by trust here, #6,877 by citations
- Artificial Intelligence — 18 citations into it
- Statistical Learning Theory — 12 citations into it
- Signal Processing — 12 citations into it
- Applied Mathematics — 8 citations into it
- Computer Networks and Communications — 5 citations into it
- Economics and Econometrics — 5 citations into it; #18,565 of 23,481 by trust here, #23,209 by citations
Whom Chao Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan Mizera
- Peter J. Bickel
- Luc Devroye
- Alexandre B. Tsybakov
- Mengjie Chen
- Karim Lounici
- Garvesh Raskutti
- Tommaso Cai
- Elizaveta Levina
- Ming Yuan
Who trusts Chao Gao overall
- Adarsh Prasad
- Heejong Bong
- Sivaraman Balakrishnan
- Arun Sai Suggala
- Dong Yin
- Ilias Diakonikolas
- Gábor Lugosi
- Alessandro Rinaldo
- Pradeep Ravikumar
- Tommaso Cai
Papers from Chao Gao's perspective
Ordered by how strongly the researchers Chao Gao trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- High-dimensional graphs and variable selection with the Lasso
- Regularized estimation of large covariance matrices
- Model selection and estimation in regression with grouped variables
- Covariance regularization by thresholding
- The Dantzig selector: Statistical estimation when P is much larger than n
- Optimal rates of convergence for covariance matrix estimation
- Atomic Decomposition by Basis Pursuit
- The Adaptive Lasso and Its Oracle Properties
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
Their papers
- Robust covariance and scatter matrix estimation under Huber’s contamination model (2015) — 201 citations
- Robust regression via mutivariate regression depth (2017) — 54 citations
- Optimal full ranking from pairwise comparisons (2021) — 25 citations
- PARTIAL RECOVERY FOR TOP-K RANKING: OPTIMALITY OF MLE AND SUB-OPTIMALITY OF SPECTRAL METHOD (2020)
- Robust Covariance Matrix Estimation via Matrix Depth (2015) — 29 citations