Noah R. Simon
Statistics and Probability · 2010–2020
A researcher in the Science corpus: 8 papers; trusts 66 researchers and is trusted by 39 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 101 citations into it; #1,476 of 12,932 by trust here, #1,548 by citations
- Artificial Intelligence — 39 citations into it; #6,382 of 35,345 by trust here, #9,557 by citations
- Computational Mechanics — 39 citations into it
- Optimization & Training — 23 citations into it; #1,614 of 2,601 by trust here, #2,259 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Statistical Learning Theory — 20 citations into it
- Control and Systems Engineering — 18 citations into it
- Molecular Biology — 15 citations into it
Whom Noah R. Simon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Yurii E. Nesterov
- Trevor J. Hastie
- Ming Yuan
- Jerome H. Friedman
- Lukas Meier
- Sara A. van de Geer
- Yi Lin
- Pradeep Ravikumar
- Garvesh Raskutti
Who trusts Noah R. Simon overall
- Matthew F. Dixon
- Ping Wang
- Yan Li
- Yoonsuh Jung
- Patrick Breheny
- Ashley Petersen
- Rachael Tappenden
- Trevor J. Hastie
- Cynthia Rudin
- Anders Gorst-rasmussen
Papers from Noah R. Simon's perspective
Ordered by how strongly the researchers Noah R. Simon trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Atomic Decomposition by Basis Pursuit
- Model selection and estimation in regression with grouped variables
- Addendum: Regularization and variable selection via the elastic net
- PATHWISE COORDINATE OPTIMIZATION
- High-dimensional graphs and variable selection with the Lasso
- © Institute of Mathematical Statistics, 2004 LEAST ANGLE REGRESSION
- The Elements of Statistical Learning
- On Model Selection Consistency of Lasso
- Regularization Paths for Generalized Linear Models via Coordinate Descent
Their papers
- New Insights and Faster Computations for the Graphical Lasso (2011) — 369 citations
- Strong rules for discarding predictors in lasso-type problems (2010) — 686 citations
- STANDARDIZATION AND THE GROUP LASSO PENALTY (2012) — 159 citations
- Nonparametric variable importance assessment using machine learning techniques (2020) — 131 citations
- Fused Lasso Additive Model (2014) — 76 citations
- Regularization Paths for Cox’s Proportional Hazards Model via Coordinate Descent (2011) — 2,279 citations
- Generalized Sparse Additive Models (2019) — 20 citations
- Wavelet regression and additive models for irregularly spaced data (2019) — 5 citations