Raj Agrawal

Statistics and Probability · 2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Raj Agrawal trusts overall

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

  1. Olivier Ledoit
  2. Robert Tibshirani
  3. E.J. Candes
  4. Michael Wolf
  5. Harry Joe
  6. Andrew Gelman
  7. Hugh A. Chipman
  8. Eugene F. Fama
  9. Jianqing Fan
  10. Martin J. Wainwright

Who trusts Raj Agrawal overall

  1. Du Phan
  2. Neeraj Pradhan

Papers from Raj Agrawal's perspective

Ordered by how strongly the researchers Raj Agrawal 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. Atomic Decomposition by Basis Pursuit
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Estimating the Dimension of a Model
  7. On the distribution of the largest eigenvalue in principal components analysis
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Controlling the false discovery rate: a practical and powerful approach to multiple testing

Their papers