David Loker

Artificial Intelligence · 2012

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

Subfields

Whom David Loker trusts overall

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

  1. Shai Shalev-Shwartz
  2. Tong Zhang
  3. Nati Srebro
  4. Adam Tauman Kalai

Who trusts David Loker overall

  1. Marco Loog

Papers from David Loker's perspective

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

  1. Convexity, Classification, and Risk Bounds
  2. Agnostically learning halfspaces (IEEE Annual Symposium on Foundations of Computer Science)
  3. Online learning: theory, algorithms and applications (למידה מקוונת.)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Smoothness, Low Noise and Fast Rates
  6. Gradient-based learning applied to document recognition
  7. Random classification noise defeats all convex potential boosters (International Conference on Machine Learning)
  8. Solving large scale linear prediction problems using stochastic gradient descent algorithms
  9. Best Arm Identification in Multi-Armed Bandits
  10. ImageNet classification with deep convolutional neural networks

Their papers