Necmiye Ozay

Statistical Learning Theory · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Necmiye Ozay trusts overall

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

  1. Radosław Adamczak
  2. Leslie Hogben
  3. Mark Rudelson
  4. Stephen Tu
  5. Elad Hazan
  6. Sarah Dean
  7. Ross Boczar
  8. Roman Vershynin
  9. Max Simchowitz
  10. B. Recht

Papers from Necmiye Ozay's perspective

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

  1. On the Sample Complexity of the Linear Quadratic Regulator
  2. Learning Linear Dynamical Systems via Spectral Filtering
  3. Learning Without Mixing: Towards A Sharp Analysis of Linear System Identification
  4. Hanson-Wright inequality and sub-gaussian concentration
  5. System Identi cation
  6. Low-rank Solutions of Linear Matrix Equations via Procrustes Flow (International Conference on Machine Learning)
  7. Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System
  8. Handbook of Linear Algebra
  9. Subspace Identification for Linear Systems: Theory ― Implementation ― Applications
  10. A note on the Hanson-Wright inequality for random vectors with dependencies

Their papers