Naman Goel



  • Naman Goel, Boi Faltings
    Personalized Peer Truth Serum for Crowdsourcing Multi-Attribute Personal Data
    Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence, UAI, 2019.

  • Naman Goel, Boi Faltings
    Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd
    Proceedings of the 33rd AAAI Conference on Artificial Intelligence, AAAI, 2019.
    [ Paper]

  • Naman Goel, Boi Faltings
    Crowdsourcing with Fairness, Diversity and Budget Constraints
    Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics and Society, AAAI/ACM AIES, 2019.
    [ Paper ]

  • Naman Goel, Mohammad Yaghini, Boi Faltings
    Non-Discriminatory Machine Learning through Convex Fairness Criteria
    Proceedings of the 32nd AAAI Conference on Artificial Intelligence, AAAI, 2018.
    [ Paper ]

  • DA Waguih, Naman Goel, HM Hammady, L Berti-Equille
    AllegatorTrack: Combining and reporting results of truth discovery from multi-source data
    Proceedings of the 31st IEEE International Conference on Data Engineering, ICDE, 2015.
    [ Paper ]

  • Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed Elmagarmid
    Parameter Database: Data-centric Synchronization for Scalable Machine Learning
    QCRI Technical Report, 2015.
    [ Paper ]


  • Cyril van Schreven, Naman Goel, Boi Faltings
    Infochain: A Decentralized System for Truthful Information Elicitation

  • Naman Goel, Maxime Rutagarama, Boi Faltings
    Tackling Peer-to-Peer Discrimination in the Sharing Economy

  • Naman Goel, A Filos-Ratsikas, Boi Faltings
    Decentralized Oracles via Peer-Prediction in the Presence of Lying Incentives
    [Paper. Presented at the Bayesian Crowd Conference 2019]

  • Naman Goel, Boi Faltings
    Transitive Trust based Incentive Schemes for Crowdsourcing
    [Supercedes the AAAI-19 paper above.]