Aleksandrs Slivkins

Management Science and Operations Research · 2005–2019

A researcher in the Science corpus: 6 papers; trusts 119 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Aleksandrs Slivkins trusts overall

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

  1. Robert D. Kleinberg
  2. Peter Auer
  3. Nicolò Cesa-Bianchi
  4. J. Langford
  5. Yoav Freund
  6. Robert E. Schapire
  7. Elad Hazan
  8. Rajeev Agrawal
  9. Shie Mannor
  10. Thorsten Joachims

Who trusts Aleksandrs Slivkins overall

  1. Tor Lattimore
  2. Hamsa Bastani
  3. Maria Dimakopoulou
  4. Csaba Szepesvari
  5. Lauren Hannah
  6. Andreas Krause
  7. Mohsen Bayati
  8. Aadirupa Saha
  9. Philippe Rigollet
  10. R´emi Munos

Papers from Aleksandrs Slivkins's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Reinforcement Learning: An Introduction
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers