Naman Goel

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Budget Constraints

Natural Language Processing

Artificially Intelligent

Top Venues

Publications

Vidminas Vizgirda, Rui Zhao, Naman Goel
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores. WWW (Companion Volume) (2024)
Dalia Gala, Milo Phillips-Brown, Naman Goel, Carinal Prunkl, Laura Alvarez Jubete, Medb Corcoran, Ray Eitel-Porter
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition. CoRR (2024)
Maria Lerner, Florian E. Dorner, Elliott Ash, Naman Goel
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. ACL (1) (2024)
Emilia Agis Lerner, Florian E. Dorner, Elliott Ash, Naman Goel
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback. CoRR (2024)
Vidminas Vizgirda, Rui Zhao, Naman Goel
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores. CoRR (2024)
Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. CoRR (2023)
Naman Goel
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models. CoRR (2023)
Jake M. L. Stein, Vidminas Vizgirda, Max Van Kleek, Reuben Binns, Jun Zhao, Rui Zhao, Naman Goel, George Chalhoub, Wael S. Albayaydh, Nigel Shadbolt
'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony. CHI (2023)
Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev
Human-Guided Fair Classification for Natural Language Processing. ICLR (2023)
Vishal Ramesh, Rui Zhao, Naman Goel
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation. CoRR (2023)
Rui Zhao, Naman Goel, Nitin Agrawal, Jun Zhao, Jake M. L. Stein, Ruben Verborgh, Reuben Binns, Tim Berners-Lee, Nigel Shadbolt
Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores. CoRR (2023)
Christina Timko, Malte Niederstadt, Naman Goel, Boi Faltings
Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment. ACM J. Data Inf. Qual. 15 (2) (2023)
Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. NeurIPS (2023)
Nianyun Li, Naman Goel, Elliott Ash
Data-Centric Factors in Algorithmic Fairness. AIES (2022)
Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev
Human-Guided Fair Classification for Natural Language Processing. CoRR (2022)
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. AAAI (2021)
Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. CoRR (2020)
Naman Goel, Aris Filos-Ratsikas, Boi Faltings
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. IJCAI (2020)
Naman Goel, Maxime Rutagarama, Boi Faltings
Tackling Peer-to-Peer Discrimination in the Sharing Economy. WebSci (2020)
Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. IJCAI (2020)
Naman Goel, Boi Faltings
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. UAI (2019)
Naman Goel, Boi Faltings
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. AAAI (2019)
Naman Goel, Boi Faltings
Crowdsourcing with Fairness, Diversity and Budget Constraints. AIES (2019)
Cyril van Schreven, Naman Goel, Boi Faltings
Infochain: A Decentralized System for Truthful Information Elicitation. CoRR (2019)
Naman Goel, Boi Faltings
Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing. CoRR (2018)
Naman Goel, Mohammad Yaghini, Boi Faltings
Non-Discriminatory Machine Learning through Convex Fairness Criteria. AIES (2018)
Naman Goel, Mohammad Yaghini, Boi Faltings
Non-Discriminatory Machine Learning Through Convex Fairness Criteria. AAAI (2018)
Naman Goel, Boi Faltings
Crowdsourcing with Fairness, Diversity and Budget Constraints. CoRR (2018)
Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid
Parameter Database : Data-centric Synchronization for Scalable Machine Learning. CoRR (2015)
Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-Équille
AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. ICDE (2015)