Matey Neykov
Statistics and Probability · 2015–2020
A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 45 citations into it; #6,480 of 12,932 by trust here, #9,233 by citations
- Artificial Intelligence — 20 citations into it; #21,645 of 35,345 by trust here, #34,213 by citations
- Computational Mechanics — 5 citations into it; #8,175 of 10,001 by trust here, #8,566 by citations
- Finance — 5 citations into it
- Statistical Learning Theory — 5 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Matey Neykov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sivaraman Balakrishnan
- Alexandre Belloni
- Victor Chernozhukov
- Liangjun Su
- Roman Vershynin
- Clément Louis Canonne
- E.J. Candes
- A. P. Dawid
- W. Hoeffding
- Kyungchul Song
Who trusts Matey Neykov overall
- Ali Shojaie
- Hongjian Shi
- Ilmun Kim
- Victor Chernozhukov
- Emily B. Fox
- Mathias Drton
- Sivaraman Balakrishnan
- Whitney K. Newey
Papers from Matey Neykov's perspective
Ordered by how strongly the researchers Matey Neykov trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Dantzig selector: Statistical estimation when P is much larger than n
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
- ImageNet classification with deep convolutional neural networks
- On asymptotically optimal confidence regions and tests for high-dimensional models
- Model selection and estimation in regression with grouped variables
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- High-dimensional graphs and variable selection with the Lasso
Their papers
- A Unified Theory of Confidence Regions and Testing for High-Dimensional Estimating Equations (2015) — 81 citations
- Minimax optimal conditional independence testing (2020) — 54 citations