Kenneth Jung

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kenneth Jung trusts overall

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

  1. Peter C. Austin
  2. Donald B. Rubin
  3. Jerome H. Friedman
  4. Diederik P. Kingma
  5. Susan Athey
  6. Haibo He
  7. Trevor J. Hastie
  8. Marco Tulio Ribeiro
  9. Guido W. Imbens
  10. J. le Gall

Who trusts Kenneth Jung overall

  1. Ahmed M. Alaa

Papers from Kenneth Jung's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Random Forests
  3. The central role of the propensity score in observational studies for causal effects
  4. Greedy function approximation: A gradient boosting machine.
  5. ImageNet classification with deep convolutional neural networks
  6. Estimating causal effects of treatments in randomized and nonrandomized studies.
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Gradient-based learning applied to document recognition
  9. Estimating Individualized Treatment Rules Using Outcome Weighted Learning
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers