Patrick Lopatto

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Lopatto trusts

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

  1. M. Maida (in Statistics and Probability)

Papers from Patrick Lopatto's perspective

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

  1. Eigenvalues of large sample covariance matrices of spiked population models
  2. Random Fields and Geometry
  3. Tensor decompositions for learning latent variable models
  4. Most Tensor Problems Are NP-Hard
  5. Large deviations for the largest eigenvalue of rank one deformations of Gaussian ensembles
  6. Concentration Inequalities: A Nonasymptotic Theory of Independence
  7. Large deviations of the extreme eigenvalues of random deformations of matrices (Probability theory and related fields)
  8. On the distribution of the largest eigenvalue in principal components analysis
  9. Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices
  10. The Largest Eigenvalue of Rank One Deformation of Large Wigner Matrices

Their papers