Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Fairness in Learning: Classic and Contextual Bandits

8 references·16 citing·38 second hop

FromToDepth

this work references cited by second hop

References

2002Finite-time Analysis of the Multiarmed Bandit Problem5,980 cited
2012Fairness through awareness3,501 cited
2014Big Data's Disparate Impact3,046 cited
2012Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems1,410 cited
2013Learning Fair Representations1,126 cited
2013Discrimination in online ad delivery751 cited
2014Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits286 cited
2011k-NN as an implementation of situation testing for discrimination discovery and prevention263 cited

Cited by

2023Algorithmic Fairness104 cited
2016Fairness in learning: classic and contextual bandits95 cited
2022Algorithmic fairness in business analytics: Directions for research and practice89 cited
2019Combinatorial Sleeping Bandits With Fairness Constraints87 cited
2019Combinatorial Sleeping Bandits with Fairness Constraints85 cited
2019From Fair Decision Making To Social Equality82 cited
2021Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness79 cited
2018

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Non-Discriminatory Machine Learning through Convex Fairness Criteria

78 cited

2020Fair classification and social welfare75 cited

2021What's Fair About Individual Fairness?74 cited

2018Online Learning with an Unknown Fairness Metric73 cited

2019Fair Algorithms for Learning in Allocation Problems70 cited

2023Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices65 cited

2020FlipTest61 cited

2020Achieving Fairness in the Stochastic Multi-Armed Bandit Problem60 cited

2019Fairness in Algorithmic Decision-Making: Applications in Multi-Winner Voting, Machine Learning, and Recommender Systems55 cited