Anru R. Zhang
Statistics and Probability · 2013–2022
A researcher in the Science corpus: 6 papers; trusts 65 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 43 citations into it; #6,350 of 12,932 by trust here, #4,371 by citations
- Computational Mechanics — 34 citations into it
- Artificial Intelligence — 22 citations into it
- Computer Vision and Pattern Recognition — 21 citations into it
- Molecular Biology — 17 citations into it
- Statistical Learning Theory — 13 citations into it
- Statistical and Nonlinear Physics — 13 citations into it
- Generative Models — 12 citations into it
Whom Anru R. Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- E.J. Candes
- Donald B. Rubin
- David L. Donoho
- Roman Vershynin
- Robert Tibshirani
- Terence Tao
- Sourav Chatterjee
- Eric R. Ziegel
- Bradley Efron
- Joel A. Tropp
Who trusts Anru R. Zhang overall
Papers from Anru R. Zhang's perspective
Ordered by how strongly the researchers Anru R. Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Decoding by linear programming
- 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)
- The Elements of Statistical Learning
- Gradient-based learning applied to document recognition
- Exact Matrix Completion via Convex Optimization
- The Dantzig selector: Statistical estimation when P is much larger than n
- ImageNet: A large-scale hierarchical image database
Their papers
- Rate-Optimal Perturbation Bounds for Singular Subspaces with Applications to High-Dimensional Statistics (2016) — 185 citations
- Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization (2014) — 328 citations
- Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions (2022) — 467 citations
- Semi-supervised inference: General theory and estimation of means (2016) — 85 citations
- Regression Analysis for Microbiome Compositional Data (2016) — 149 citations
- Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices (2013) — 318 citations