Kleinberg, Jon

Graphs over time: densification laws, shrinking diameters and possible explanations

Leskovec, J., Kleinberg, J., & Faloutsos, C. (2005) · Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Complex Network Analysis TechniquesGraph Theory and Algorithms

Cited by 2,281

Group formation in large social networks: membership, growth, and evolution

Backstrom, L., Huttenlocher, D., Kleinberg, J., & Lan, X. (2006) · Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining

Complex Network Analysis TechniquesKnowledge Management and Sharing

Cited by 1,805

Differences in the mechanics of information diffusion across topics: idioms, political hashtags, and complex contagion on twitter

Romero, D. M., Meeder, B., & Kleinberg, J. (2011) · Proceedings of the 20th international conference on World wide web

Complex Network Analysis TechniquesSocial Media and Politics

Cited by 1,082

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2018) · The Quarterly Journal of Economics

Criminal Justice and Corrections AnalysisArtificial Intelligence in Law

Cited by 1,040

Inherent trade-offs in the fair determination of risk scores

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2017) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 943

Inherent Trade-Offs in the Fair Determination of Risk Scores

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2016) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 941

Mitigating bias in algorithmic hiring: evaluating claims and practices

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 845

Prediction Policy Problems

Kleinberg, J., Ludwig, J., Mullainathan, S., & Obermeyer, Z. (2015) · American Economic Review

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 584

Human Decisions and Machine Predictions

Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · National Bureau of Economic Research

Artificial Intelligence in LawCriminal Justice and Corrections Analysis

Cited by 545

Making sense of recommendations

Yeomans, M., Shah, A., Mullainathan, S., & Kleinberg, J. (2019) · Journal of Behavioral Decision Making

Recommender Systems and TechniquesDecision-Making and Behavioral Economics

Cited by 459

Discrimination in the Age of Algorithms

Kleinberg, J., Ludwig, J., Mullainathan, S., & Sunstein, C. R. (2018) · Journal of Legal Analysis

Ethics and Social Impacts of AIDiscrimination and Equality Law

Cited by 401

Integrating explanation and prediction in computational social science

Hofman, J. M., Watts, D. J., Athey, S., Garip, F., Griffiths, T. L., Kleinberg, J., Margetts, H., Mullainathan, S., Salganik, M. J., Vazire, S., et al. (2021) · Nature

Philosophy of Biology and Scientific ExplanationMulti-Agent Systems and Negotiation

Cited by 371

Inferring social ties across heterogenous networks

Tang, J., Lou, T., & Kleinberg, J. (2012) · Proceedings of the fifth ACM international conference on Web search and data mining

Complex Network Analysis TechniquesInformation Retrieval and Data Mining

Cited by 289

Algorithmic fairness

Kleinberg, J., Ludwig, J., Mullainathan, S., & Rambachan, A. (2018) · AEA Papers and Proceedings

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 278

Graph cluster randomization: network exposure to multiple universes

Ugander, J., Karrer, B., Backstrom, L., & Kleinberg, J. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Advanced Causal Inference TechniquesComplex Network Analysis Techniques

Cited by 183

Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2019) · arXiv

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 176

Algorithmic monoculture and social welfare

Kleinberg, J., & Raghavan, M. (2021) · Proceedings of the National Academy of Sciences

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 147

The Selective Labels Problem: Evaluating Algorithmic Predictions in the Presence of Unobservables

Lakkaraju, H., Kleinberg, J., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Advanced Causal Inference TechniquesEthics and Social Impacts of AI

Cited by 138

Inherent Trade-Offs in Algorithmic Fairness

Kleinberg, J. (2018) · Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems

Ethics and Social Impacts of AIGame Theory and Voting Systems

Cited by 125

Direct Uncertainty Prediction for Medical Second Opinions

Raghu, M., Blumer, K., Sayres, R., Obermeyer, Z., Kleinberg, R., Mullainathan, S., & Kleinberg, J. (2018) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 93

The Algorithmic Automation Problem: Prediction, Triage, and Human Effort

Raghu, M., Blumer, K., Corrado, G., Kleinberg, J., Obermeyer, Z., & Mullainathan, S. (2019) · arXiv

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 58

Mitigating Bias in Algorithmic Employment Screening: Evaluating Claims and Practices

Raghavan, M., Barocas, S., Kleinberg, J., & Levy, K. (2019) · SSRN Electronic Journal

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 51

The Challenge of Understanding What Users Want: Inconsistent Preferences and Engagement Optimization

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2023) · Management Science

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 34

Evaluating the World Model Implicit in a Generative Model

Vafa, K., Chen, J. Y., Rambachan, A., Kleinberg, J., & Mullainathan, S. (2024) · arXiv

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 22