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2020 – today
- 2024
[c16]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: 9403-9425- [c15]Vidminas Vizgirda
, Rui Zhao, Naman Goel:
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores. WWW (Companion Volume) 2024: 1067-1070 - [i13]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 abs/2403.06031 (2024) - [i12]Vidminas Vizgirda, Rui Zhao, Naman Goel:
SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores. CoRR abs/2403.10408 (2024) - [i11]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 abs/2406.05902 (2024) - 2023
- [j1]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): 16:1-16:18 (2023) - [c14]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: 281:1-281:26 - [c13]Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev:
Human-Guided Fair Classification for Natural Language Processing. ICLR 2023 - [c12]Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun:
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. NeurIPS 2023 - [i10]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 abs/2309.16365 (2023) - [i9]Elliott Ash, Naman Goel, Nianyun Li, Claudia Marangon, Peiyao Sun:
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts. CoRR abs/2310.18724 (2023) - [i8]Vishal Ramesh, Rui Zhao, Naman Goel:
Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation. CoRR abs/2310.20062 (2023) - [i7]Naman Goel:
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models. CoRR abs/2311.07692 (2023) - 2022
- [c11]Nianyun Li, Naman Goel, Elliott Ash:
Data-Centric Factors in Algorithmic Fairness. AIES 2022: 396-410 - [i6]Florian E. Dorner, Momchil Peychev, Nikola Konstantinov, Naman Goel, Elliott Ash, Martin T. Vechev:
Human-Guided Fair Classification for Natural Language Processing. CoRR abs/2212.10154 (2022) - 2021
- [c10]Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma:
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. AAAI 2021: 7564-7573 - 2020
- [b1]Naman Goel:
Truthful, Transparent and Fair Data Collection Mechanisms. EPFL, Switzerland, 2020 - [c9]Naman Goel, Aris Filos-Ratsikas, Boi Faltings:
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. IJCAI 2020: 124-131 - [c8]Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings:
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. IJCAI 2020: 4604-4610 - [c7]Naman Goel, Maxime Rutagarama, Boi Faltings:
Tackling Peer-to-Peer Discrimination in the Sharing Economy. WebSci 2020: 355-361 - [i5]Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma:
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. CoRR abs/2012.11448 (2020)
2010 – 2019
- 2019
- [c6]Naman Goel, Boi Faltings:
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. AAAI 2019: 1996-2003 - [c5]Naman Goel, Boi Faltings:
Crowdsourcing with Fairness, Diversity and Budget Constraints. AIES 2019: 297-304 - [c4]Naman Goel, Boi Faltings:
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. UAI 2019: 18-27 - [i4]Cyril van Schreven, Naman Goel, Boi Faltings:
Infochain: A Decentralized System for Truthful Information Elicitation. CoRR abs/1908.10258 (2019) - 2018
- [c3]Naman Goel, Mohammad Yaghini, Boi Faltings:
Non-Discriminatory Machine Learning Through Convex Fairness Criteria. AAAI 2018: 3029-3036 - [c2]Naman Goel, Mohammad Yaghini, Boi Faltings:
Non-Discriminatory Machine Learning through Convex Fairness Criteria. AIES 2018: 116 - [i3]Naman Goel, Boi Faltings:
Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing. CoRR abs/1804.05560 (2018) - [i2]Naman Goel, Boi Faltings:
Crowdsourcing with Fairness, Diversity and Budget Constraints. CoRR abs/1810.13314 (2018) - 2015
- [c1]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: 1440-1443 - [i1]Naman Goel, Divyakant Agrawal, Sanjay Chawla, Ahmed K. Elmagarmid:
Parameter Database : Data-centric Synchronization for Scalable Machine Learning. CoRR abs/1508.00703 (2015)
Coauthor Index
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last updated on 2024-10-07 22:06 CEST by the dblp team
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