Fairness in Learning: Classic and Contextual Bandits

Matthew Joseph, Michael Kearns, Jamie Morgenstern, +1

arXiv (Cornell University)

Fairness DefinitionContextual BanditCognitive ScienceEngineeringContextual Bandits +12

A Convex Framework for Fair Regression

Richard A. Berk, Hoda Heidari, Shahin Jabbari, +5

arXiv (Cornell University)

EngineeringMachine LearningFair RegressionFairness RegularizersData Science +14

Fairness in learning: classic and contextual bandits

Matthew Joseph, Michael Kearns, Jamie Morgenstern, +1

Neural Information Processing Systems

EngineeringContextual BanditsGame TheoryAlgorithmic LearningLearning Algorithm +14

Rawlsian Fairness for Machine Learning.

Matthew Joseph, Michael Kearns, Jamie Morgenstern, +2

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningTechnical DefinitionGame Theory +18

Local Differential Privacy for Evolving Data

Matthew Joseph, Aaron Roth, Jonathan Ullman, +1

Journal of Privacy and Confidentiality

Local Differential Privacy for Evolving Data

Matthew Joseph, Aaron Roth, Jonathan Ullman, +1

arXiv (Cornell University)

Privacy ProtectionEngineeringInformation SecurityData ScienceData Mining +15

Meritocratic Fairness for Infinite and Contextual Bandits

Matthew Joseph, Michael Kearns, Jamie Morgenstern, +2

Meritocratic FairnessContextual BanditOnline Linear SettingOnline AlgorithmGame Theory +11

Locally Private Gaussian Estimation

Matthew Joseph, Janardhan Kulkarni, Jieming Mao, +1

arXiv (Cornell University)

Privacy ProtectionEngineeringMachine LearningLocalizationPrivacy-preserving Communication +15

Fair Learning in Markovian Environments.

Shahin Jabbari, Matthew Joseph, Michael Kearns, +2

arXiv (Cornell University)

Fair LearningAlgorithmic FairnessFairness (Computer Systems)Computer ScienceMarkov Decision Process

Fair Algorithms for Infinite and Contextual Bandits

Matthew Joseph, Michael Kearns, Jamie Morgenstern, +2

arXiv (Cornell University)

Meritocratic FairnessContextual BanditOnline Linear SettingEngineeringOnline Algorithm +13