Kearns, Michael

An Introduction to Computational Learning Theory

Kearns, M. J., & Vazirani, U. (1994) · The MIT Press eBooks

Machine Learning and AlgorithmsComputability, Logic, AI Algorithms

Cited by 1,697

Fairness in Criminal Justice Risk Assessments: The State of the Art

Berk, R., Heidari, H., Jabbari, S., Kearns, M., & Roth, A. (2021) · Sociological Methods & Research

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 988

Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

Kearns, M., Neel, S., Roth, A., & Wu, Z. S. (2017) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 469

Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation

Kearns, M., & Ron, D. (1999) · Neural Computation

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 407

Fairness in Learning: Classic and Contextual Bandits

Joseph, M., Kearns, M., Morgenstern, J., & Roth, A. (2016) · arXiv

Advanced Bandit Algorithms ResearchMachine Learning and Algorithms

Cited by 199

A Convex Framework for Fair Regression

Berk, R., Heidari, H., Jabbari, S., Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 198

Minimax group fairness: algorithms and experiments

Diana, E., Gill, W., Kearns, M., Kenthapadi, K., & Roth, A. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 74

Fair Algorithms for Learning in Allocation Problems

Elzayn, H., Jabbari, S., Jung, C., Kearns, M., Neel, S., Roth, A., & Schutzman, Z. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 70

Differentially Private Fair Learning

Jagielski, M., Kearns, M., Mao, J., Oprea, A., Roth, A., Sharifi-Malvajerdi, S., & Ullman, J. (2018) · arXiv

Privacy-Preserving Technologies in DataEthics and Social Impacts of AI

Cited by 62

Meritocratic Fairness for Infinite and Contextual Bandits

Joseph, M., Kearns, M., Morgenstern, J., Neel, S., & Roth, A. (2018) · Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society

Advanced Bandit Algorithms ResearchOptimization and Search Problems

Cited by 24

Ethical algorithm design

Kearns, M., & Roth, A. (2020) · ACM SIGecom Exchanges

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 21

Privacy for the Protected (Only)

Kearns, M., Roth, A., Wu, Z. S., & Yaroslavtsev, G. (2015) · arXiv

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 5