Scott Neville

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.

Whom Scott Neville trusts overall

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

  1. Robin Pemantle

Papers from Scott Neville's perspective

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

  1. Fairness in Learning: Classic and Contextual Bandits
  2. To predict and serve?
  3. Rawlsian Fairness for Machine Learning
  4. Fair Learning in Markovian Environments
  5. Fairness Incentives for Myopic Agents
  6. A survey of random processes with reinforcement
  7. A Generalization of Sampling Without Replacement from a Finite Universe
  8. Randomized Controlled Field Trials of Predictive Policing
  9. Big Data's Disparate Impact
  10. Inherent Trade-Offs in the Fair Determination of Risk Scores

Their papers