Aleksandr Vorobev

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksandr Vorobev trusts overall

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

  1. Jerome H. Friedman
  2. L. Eon Bottou
  3. R. Caruana

Who trusts Aleksandr Vorobev overall

  1. John T. Hancock
  2. Noah Hollmann

Papers from Aleksandr Vorobev's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  3. Stochastic gradient boosting
  4. XGBoost: A Scalable Tree Boosting System
  5. Large Scale Online Learning
  6. ImageNet classification with deep convolutional neural networks
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Sparse Online Learning via Truncated Gradient (Neural Information Processing Systems)
  9. Practical Lessons from Predicting Clicks on Ads at Facebook
  10. Classification and regression trees

Their papers