Naoki Egami

Statistics and Probability · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Naoki Egami trusts overall

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

  1. Daniel McFadden
  2. Susan Athey
  3. Robert Tibshirani
  4. Trevor J. Hastie
  5. Donald B. Rubin
  6. P. Marshall
  7. Tyler J. VanderWeele
  8. Guido W. Imbens
  9. James M. Robins
  10. Victor Chernozhukov

Who trusts Naoki Egami overall

  1. Liuyi Yao
  2. Margaret E. Roberts
  3. Zhixuan Chu
  4. Brandon M Stewart
  5. Amir Feder

Papers from Naoki Egami's perspective

Ordered by how strongly the researchers Naoki Egami 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. The Nature of Statistical Learning Theory
  4. Recursive partitioning for heterogeneous causal effects
  5. Double/debiased machine learning for treatment and structural parameters
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. The Elements of Statistical Learning
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers