| Ranking with fairness constraints LE Celis, D Straszak, NK Vishnoi arXiv preprint arXiv:1704.06840, 2017 | 365 | 2017 |
| Classification with fairness constraints: A meta-algorithm with provable guarantees LE Celis, L Huang, V Keswani, NK Vishnoi Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 333 | 2019 |
| Assessing social and intersectional biases in contextualized word representations YC Tan, LE Celis Advances in neural information processing systems 32, 2019 | 230 | 2019 |
| Fair and diverse DPP-based data summarization E Celis, V Keswani, D Straszak, A Deshpande, T Kathuria, N Vishnoi International conference on machine learning, 716-725, 2018 | 198* | 2018 |
| Controlling polarization in personalization: An algorithmic framework LE Celis, S Kapoor, F Salehi, N Vishnoi Proceedings of the conference on fairness, accountability, and transparency …, 2019 | 141* | 2019 |
| Multiwinner voting with fairness constraints LE Celis, L Huang, NK Vishnoi arXiv preprint arXiv:1710.10057, 2017 | 125 | 2017 |
| Buy-it-now or Take-a-chance: Price Discrimination through Randomized Auctions LE Celis, G Lewis, M Mobius, H Nazerzadeh Management Science 60 (12), 2927-2948, 2014 | 96 | 2014 |
| Interventions for ranking in the presence of implicit bias LE Celis, A Mehrotra, NK Vishnoi Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 70 | 2020 |
| Fair classification with noisy protected attributes: A framework with provable guarantees LE Celis, L Huang, V Keswani, NK Vishnoi International Conference on Machine Learning, 1349-1361, 2021 | 65* | 2021 |
| Balls and bins: Smaller hash families and faster evaluation LE Celis, O Reingold, G Segev, U Wieder SIAM Journal on Computing 42 (3), 1030-1050, 2013 | 60 | 2013 |
| Mitigating bias in set selection with noisy protected attributes A Mehrotra, LE Celis Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 56 | 2021 |
| Toward controlling discrimination in online ad auctions E Celis, A Mehrotra, N Vishnoi International Conference on Machine Learning, 4456-4465, 2019 | 56 | 2019 |
| Data preprocessing to mitigate bias: A maximum entropy based approach LE Celis, V Keswani, N Vishnoi International conference on machine learning, 1349-1359, 2020 | 54 | 2020 |
| Improved adversarial learning for fair classification LE Celis, V Keswani arXiv preprint arXiv:1901.10443, 2019 | 53 | 2019 |
| Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence AM Nussberger, L Luo, LE Celis, MJ Crockett Nature Communications 13 (1), 5821, 2022 | 40 | 2022 |
| Fair classification with adversarial perturbations LE Celis, A Mehrotra, N Vishnoi Advances in Neural Information Processing Systems 34, 8158-8171, 2021 | 40 | 2021 |
| A distributed learning dynamics in social groups LE Celis, PM Krafft, NK Vishnoi Proceedings of the ACM Symposium on Principles of Distributed Computing, 441-450, 2017 | 40* | 2017 |
| Implicit diversity in image summarization LE Celis, V Keswani Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-28, 2020 | 36 | 2020 |
| Regulatory mechanisms and algorithms towards trust in AI/ML E Thelisson, K Padh, LE Celis Proceedings of the IJCAI 2017 workshop on explainable artificial …, 2017 | 36 | 2017 |
| Methods and systems for assigning tasks to workers S Karanam, LE Celis, V Rajan, K Dasgupta, D Chander US Patent App. 14/540,203, 2016 | 36 | 2016 |
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