| Word embeddings quantify 100 years of gender and ethnic stereotypes N Garg, L Schiebinger, D Jurafsky, J Zou Proceedings of the National Academy of Sciences 115 (16), E3635-E3644, 2018 | 1584 | 2018 |
| Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings D Demszky, N Garg, R Voigt, J Zou, M Gentzkow, J Shapiro, D Jurafsky North American Chapter of the Association for Computational Linguistics …, 2019 | 259 | 2019 |
| Driver surge pricing N Garg, H Nazerzadeh Management Science, 2021 | 150 | 2021 |
| Fair ranking: a critical review, challenges, and future directions GK Patro, L Porcaro, L Mitchell, Q Zhang, M Zehlike, N Garg Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 101 | 2022 |
| Supply-side equilibria in recommender systems M Jagadeesan, N Garg, J Steinhardt Advances in Neural Information Processing Systems 36, 14597-14608, 2023 | 60 | 2023 |
| Designing Informative Rating Systems: Evidence from an Online Labor Market N Garg, R Johari Manufacturing & Service Operations Management, 2020 | 56* | 2020 |
| Standardized tests and affirmative action: The role of bias and variance N Garg, H Li, F Monachou Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 54* | 2021 |
| Deliberative Democracy with the Online Deliberation Platform J Fishkin, N Garg, L Gelauff, A Goel, K Munagala, S Sakshuwong, A Siu, ... Center for Deliberative Democracy, Stanford University, 2019 | 49 | 2019 |
| Iterative Local Voting for Collective Decision-making in Continuous Spaces N Garg, V Kamble, A Goel, D Marn, K Munagala Journal of Artificial Intelligence Research 64, 315-355, 2019 | 40* | 2019 |
| Coarse race data conceals disparities in clinical risk score performance R Movva, D Shanmugam, K Hou, P Pathak, J Guttag, N Garg, E Pierson Machine Learning for Healthcare Conference, 443-472, 2023 | 39 | 2023 |
| Fair Allocation through Selective Information Acquisition W Cai, J Gaebler, N Garg, S Goel Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 22-28, 2020 | 37 | 2020 |
| Strategic ranking LT Liu, N Garg, C Borgs International Conference on Artificial Intelligence and Statistics, 2489-2518, 2022 | 36 | 2022 |
| Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers R Movva, S Balachandar, K Peng, G Agostini, N Garg, E Pierson Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 34* | 2024 |
| The stereotyping problem in collaboratively filtered recommender systems W Guo, K Krauth, M Jordan, N Garg Proceedings of the 1st ACM Conference on Equity and Access in Algorithms …, 2021 | 27 | 2021 |
| Reconciling the accuracy-diversity trade-off in recommendations K Peng, M Raghavan, E Pierson, J Kleinberg, N Garg Proceedings of the ACM on Web Conference 2024, 1318–1329, 2024 | 24 | 2024 |
| Quantifying spatial under-reporting disparities in resident crowdsourcing Z Liu, U Bhandaram, N Garg Nature Computational Science, 1-9, 2023 | 23* | 2023 |
| Test-optional policies: Overcoming strategic behavior and informational gaps Z Liu, N Garg Proceedings of the 1st ACM Conference on Equity and Access in Algorithms …, 2021 | 22 | 2021 |
| Designing optimal binary rating systems N Garg, R Johari The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 21 | 2019 |
| Monoculture in matching markets K Peng, N Garg Advances in Neural Information Processing Systems 37, 81959-81991, 2024 | 18 | 2024 |
| Fair use and innovation in unlicensed wireless spectrum N Garg WISE, IEEE, Jul 31, 1-74, 2015 | 18 | 2015 |
Emma PiersonUniversity of California, BerkeleyVerified email at berkeley.edu
