Jacob Bien

Statistics and Probability · 2009–2015

A researcher in the Science corpus: 6 papers; trusts 54 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Jacob Bien trusts overall

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

  1. Robert Tibshirani
  2. Trevor J. Hastie
  3. Francis R. Bach
  4. Rodolphe Jenatton
  5. Eric R. Ziegel
  6. Bradley Efron
  7. Ming Yuan
  8. Hui Zou
  9. Jerome H. Friedman
  10. Guillaume Obozinski

Who trusts Jacob Bien overall

  1. Been Kim
  2. Cynthia Rudin
  3. Berk Ustun
  4. Sercan Ö. Arik
  5. Nadia Burkart
  6. Robert Tibshirani
  7. Riccardo Guidotti
  8. Ş. Ertekin
  9. Tomas Pfister
  10. Amit Dhurandhar

Papers from Jacob Bien's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Regression Shrinkage and Selection via the Lasso
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers