Jesse London

AI Ethics, Fairness & Society · 2018

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 Jesse London trusts

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

  1. Julius Adebayo (in AI Ethics, Fairness & Society)

Papers from Jesse London's perspective

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

  1. Fairness through awareness
  2. Discrimination-aware data mining
  3. Equality of Opportunity in Supervised Learning
  4. Learning Fair Representations
  5. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
  6. Three naive Bayes approaches for discrimination-free classification
  7. Inherent Trade-Offs in the Fair Determination of Risk Scores
  8. Certifying and Removing Disparate Impact
  9. Fairness in Learning: Classic and Contextual Bandits
  10. Fairness-aware Learning through Regularization Approach

Their papers