Naman Goel

Orcid: 0000-0002-5106-5889

According to our database1, Naman Goel authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition.
CoRR, 2024

SocialGenPod: Privacy-Friendly Generative AI Social Web Applications with Decentralised Personal Data Stores.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023
Incentive Mechanism Design for Responsible Data Governance: A Large-scale Field Experiment.
ACM J. Data Inf. Qual., June, 2023

On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models.
CoRR, 2023

Decentralised, Scalable and Privacy-Preserving Synthetic Data Generation.
CoRR, 2023

Libertas: Privacy-Preserving Computation for Decentralised Personal Data Stores.
CoRR, 2023

WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Human-Guided Fair Classification for Natural Language Processing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

'You are you and the app. There's nobody else.': Building Worker-Designed Data Institutions within Platform Hegemony.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Data-Centric Factors in Algorithmic Fairness.
Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Truthful, Transparent and Fair Data Collection Mechanisms.
PhD thesis, 2020

Tackling Peer-to-Peer Discrimination in the Sharing Economy.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Peer-Prediction in the Presence of Outcome Dependent Lying Incentives.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Infochain: A Decentralized System for Truthful Information Elicitation.
CoRR, 2019

Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Crowdsourcing with Fairness, Diversity and Budget Constraints.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing.
CoRR, 2018

Non-Discriminatory Machine Learning Through Convex Fairness Criteria.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015
Parameter Database : Data-centric Synchronization for Scalable Machine Learning.
CoRR, 2015

AllegatorTrack: Combining and reporting results of truth discovery from multi-source data.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015


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