Wenbo Ren

Statistics and Probability · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbo Ren trusts overall

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

  1. W. Hoeffding
  2. Daniel McFadden
  3. Moein Falahatgar
  4. Yisong Yue
  5. Shie Mannor
  6. Aadirupa Saha
  7. Shivaram Kalyanakrishnan
  8. Kevin G. Jamieson
  9. Thorsten Joachims
  10. Alon Orlitsky

Papers from Wenbo Ren's perspective

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

  1. Beat the Mean Bandit
  2. ImageNet classification with deep convolutional neural networks
  3. PAC Subset Selection in Stochastic Multi-armed Bandits (International Conference on Machine Learning)
  4. Individual Choice Behavior: A Theoretical Analysis
  5. The Sample Complexity of Exploration in the Multi-Armed Bandit Problem (Journal of machine learning research)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Reinforcement Learning: An Introduction
  8. lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits
  9. A law of comparative judgment.
  10. Probability inequalities for sum of bounded random variables

Their papers