Niklas Koep

Journal of machine learning research · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Niklas Koep trusts overall

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

  1. Steven Thomas Smith
  2. Bart Vandereycken

Papers from Niklas Koep's perspective

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

  1. Low-Rank Matrix Completion by Riemannian Optimization
  2. Optimization algorithms on matrix manifolds
  3. Trust-Region Methods on Riemannian Manifolds (Foundations of Computational Mathematics)
  4. On robust estimation of the location parameter
  5. Robust Estimation of a Location Parameter
  6. Optimization Techniques on Riemannian Manifolds (arXiv.org)
  7. Automatic differentiation in machine learning: a survey
  8. The Geometry of Algorithms with Orthogonality Constraints
  9. Matrix Completion from Noisy Entries
  10. RTRMC: A Riemannian trust-region method for low-rank matrix completion

Their papers