Jochen Trumpf

Optimization & Training · with Dai · 2004–2013

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jochen Trumpf trusts overall

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

  1. N. Schraudolph
  2. Shun-ichi Amari
  3. Martin A. Zinkevich
  4. Hermann Karcher
  5. Huiling Le
  6. Venu Madhav Govindu
  7. Jyrki Kivinen
  8. Jorge Nocedal
  9. Anders Heyden
  10. Dan Martinec

Who trusts Jochen Trumpf overall

  1. Mark W. Schmidt
  2. Mahsa Baktash
  3. S. Meng
  4. Weixin Lu

Papers from Jochen Trumpf's perspective

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

  1. Natural Gradient Works Efficiently in Learning
  2. Pegasos: primal estimated sub-gradient solver for SVM
  3. A Stochastic Approximation Method
  4. Online Convex Programming and Generalized Infinitesimal Gradient Ascent
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Logarithmic regret algorithms for online convex optimization
  7. Exponentiated Gradient Versus Gradient Descent for Linear Predictors
  8. ImageNet classification with deep convolutional neural networks
  9. Gradient-based learning applied to document recognition
  10. Methods of information geometry

Their papers