NIPS Proceedingsβ

Aaron Roth

10 Papers

  • Average Individual Fairness: Algorithms, Generalization and Experiments (2019)
  • Equal Opportunity in Online Classification with Partial Feedback (2019)
  • A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem (2018)
  • Local Differential Privacy for Evolving Data (2018)
  • Online Learning with an Unknown Fairness Metric (2018)
  • Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM (2017)
  • Fairness in Learning: Classic and Contextual Bandits (2016)
  • Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs (2016)
  • Privacy Odometers and Filters: Pay-as-you-Go Composition (2016)
  • Generalization in Adaptive Data Analysis and Holdout Reuse (2015)