Yihong Wu
Statistics and Probability · with Yang · 2012–2015
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 31 citations into it; #2,954 of 12,932 by trust here, #3,893 by citations
- Artificial Intelligence — 21 citations into it; #6,177 of 35,345 by trust here, #15,004 by citations
- Computational Mechanics — 14 citations into it; #3,337 of 10,001 by trust here, #4,178 by citations
- Signal Processing — 13 citations into it; #2,553 of 7,572 by trust here, #3,309 by citations
- Computational Theory and Mathematics — 8 citations into it
- Control and Systems Engineering — 6 citations into it
- Statistical Learning Theory — 6 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Yihong Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alexandre B. Tsybakov
- Liam Paninski
- Paul Valiant
- Gregory Valiant
- Tommaso Cai
- Lucien Le Cam
- Michael M. Mitzenmacher
- Jiantao Jiao
- Mark J van Rossum
- Mark G. Low
Who trusts Yihong Wu overall
- Jiantao Jiao
- Jayadev Acharya
- Yanjun Han
- Xiyang Liu
- Weihao Gao
- Sewoong Oh
- Tsachy Weissman
- Kartik Venkat
- Lijie Chen
- Ananda Theertha Suresh
Papers from Yihong Wu's perspective
Ordered by how strongly the researchers Yihong Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Introduction to Nonparametric Estimation
- Asymptotic Methods In Statistical Decision Theory
- Regression Shrinkage and Selection via the Lasso
- Estimating the unseen: an n/log(n)-sample estimator for entropy and support size, shown optimal via new CLTs
- Minimax Estimation of Functionals of Discrete Distributions
- The Power of Linear Estimators
- On the distribution of the largest eigenvalue in principal components analysis
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling (International Conference on Machine Learning)
- Optimal rates of convergence for covariance matrix estimation
- Gaussian model selection
Their papers
- Sparse PCA: Optimal rates and adaptive estimation (2012) — 343 citations
- Chebyshev polynomials, moment matching, and optimal estimation of the unseen (2015) — 119 citations
- Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation (2014) — 241 citations