Martin Wahl

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Wahl trusts overall

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

  1. Vladimir Koltchinskii
  2. Bernhard Schölkopf
  3. Michel Ledoux
  4. Peter L. Bartlett
  5. T. Hsing
  6. Iain M. Johnstone
  7. Terence Tao
  8. Karim Lounici
  9. Alex Smola
  10. Olivier Bousquet

Papers from Martin Wahl's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning with Kernels: support vector machines, regularization, optimization, and beyond
  3. The concentration of measure phenomenon
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  6. On the distribution of the largest eigenvalue in principal components analysis
  7. Learning Multiple Layers of Features from Tiny Images
  8. Local Rademacher complexities
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices

Their papers