Eiji Takimoto

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 Eiji Takimoto trusts overall

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

  1. Elad Hazan

Papers from Eiji Takimoto's perspective

Ordered by how strongly the researchers Eiji Takimoto 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