Emile Richard

Optimization & Training · 2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Emile Richard trusts overall

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

  1. Robert Tibshirani
  2. Patrik O. Hoyer
  3. Noureddine El Karoui
  4. Jingu Kim
  5. Amanda L. Traud
  6. Hui Zou

Who trusts Emile Richard overall

  1. José Manuel Álvarez
  2. Gauthier Gidel
  3. Wei Jin

Papers from Emile Richard's perspective

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

  1. Regression Shrinkage and Selection via the Lasso
  2. Learning the parts of objects by non-negative matrix factorization
  3. Model selection and estimation in regression with grouped variables
  4. Addendum: Regularization and variable selection via the elastic net
  5. Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
  6. A Singular Value Thresholding Algorithm for Matrix Completion
  7. Operator norm consistent estimation of large-dimensional sparse covariance matrices
  8. Sparse Nonnegative Matrix Factorization for Clustering
  9. Sparse Principal Component Analysis
  10. Rank-Sparsity Incoherence for Matrix Decomposition (SIAM Journal on Optimization)

Their papers