Olga Klopp

Computational Mechanics · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Olga Klopp trusts overall

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

  1. Roman Vershynin
  2. Alexandre B. Tsybakov
  3. Mark Rudelson
  4. E.J. Candes
  5. Vladimir Koltchinskii
  6. B. Recht
  7. David Gross
  8. Raghunandan H. Keshavan
  9. Evarist Gin'e
  10. Sahand N. Negahban

Who trusts Olga Klopp overall

  1. Alexander J. Ratner
  2. Braden Hancock

Papers from Olga Klopp's perspective

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

  1. A Simpler Approach to Matrix Completion
  2. Introduction to the non-asymptotic analysis of random matrices
  3. Rank-Sparsity Incoherence for Matrix Decomposition (SIAM Journal on Optimization)
  4. Robust principal component analysis?
  5. Matrix Completion from Noisy Entries
  6. Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
  7. Hanson-Wright inequality and sub-gaussian concentration
  8. Introduction to Nonparametric Estimation
  9. The Power of Convex Relaxation: Near-Optimal Matrix Completion
  10. Recovering Low-Rank Matrices From Few Coefficients in Any Basis

Their papers