Rina Foygel Barber

Statistics and Probability · 2014–2022

A researcher in the Science corpus: 12 papers; trusts 108 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Rina Foygel Barber trusts overall

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

  1. Vladimir G Vovk
  2. John D. Storey
  3. Yoav Benjamini
  4. Robert Tibshirani
  5. E.J. Candes
  6. Bradley Efron
  7. Jing Lei
  8. Cun-Hui Zhang
  9. Alexandre B. Tsybakov
  10. Trevor J. Hastie

Who trusts Rina Foygel Barber overall

  1. E.J. Candes
  2. Isaac Gibbs
  3. Anastasios Nikolas Angelopoulos
  4. Leying Guan
  5. Stephen Bates
  6. Nikolaos Ignatiadis
  7. Yinchu Zhu
  8. Lihua Lei
  9. Ang Li
  10. Daniel Garcia Rasines

Papers from Rina Foygel Barber's perspective

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

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

Their papers