Mátyás A. Sustik

Statistics and Probability · 2007–2011

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Mátyás A. Sustik trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Roderick B Holmes
  2. Jerome H. Friedman
  3. Joel A. Tropp
  4. Guo-Xun Yuan
  5. Vern I. Paulsen
  6. Robert Tibshirani
  7. Trevor J. Hastie
  8. Paul Tseng
  9. Tong Tong Wu

Who trusts Mátyás A. Sustik overall

  1. Shayne Waldron
  2. Thomas Strohmer
  3. Viktoria Ollerer
  4. Zai Yang

Papers from Mátyás A. Sustik's perspective

Ordered by how strongly the researchers Mátyás A. Sustik trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. PATHWISE COORDINATE OPTIMIZATION
  3. The group lasso for logistic regression
  4. A coordinate gradient descent method for nonsmooth separable minimization
  5. Model selection and estimation in the Gaussian graphical model
  6. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
  7. Regularization Paths for Generalized Linear Models via Coordinate Descent
  8. Coordinate descent algorithms for lasso penalized regression
  9. New Insights and Faster Computations for the Graphical Lasso
  10. Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)

Their papers