Kohei Hatano

Optimization & Training · 2017

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

Subfields

Whom Kohei Hatano trusts overall

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

  1. Elad Hazan
  2. Shai Shalev-Shwartz
  3. Pradeep Ravikumar
  4. Nati Srebro

Papers from Kohei Hatano's perspective

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

  1. Maximum-Margin Matrix Factorization
  2. Rank, Trace-Norm and Max-Norm
  3. Introduction to Online Convex Optimization
  4. Online Learning and Online Convex Optimization
  5. High-dimensional covariance estimation by minimizing ℓ1-penalized log-determinant divergence
  6. Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing
  7. Nuclear norm penalization and optimal rates for noisy low rank matrix completion
  8. Spectral Regularization Algorithms for Learning Large Incomplete Matrices
  9. Convex Optimization & Euclidean Distance Geometry
  10. Gradient-based learning applied to document recognition

Their papers