| 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 | 319 | 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 | 124 | 2018 |
| Towards unbiased and accurate deferral to multiple experts V Keswani, M Lease, K Kenthapadi Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 154-165, 2021 | 65 | 2021 |
| 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 | 62* | 2021 |
| Data preprocessing to mitigate bias: A maximum entropy based approach LE Celis, V Keswani, N Vishnoi International conference on machine learning, 1349-1359, 2020 | 52 | 2020 |
| Improved adversarial learning for fair classification LE Celis, V Keswani arXiv preprint arXiv:1901.10443, 2019 | 46 | 2019 |
| Implicit diversity in image summarization LE Celis, V Keswani Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-28, 2020 | 33 | 2020 |
| Dialect diversity in text summarization on twitter V Keswani, LE Celis Proceedings of the Web Conference 2021, 3802-3814, 2021 | 19 | 2021 |
| Designing closed human-in-the-loop deferral pipelines V Keswani, M Lease, K Kenthapadi arXiv preprint arXiv:2202.04718, 2022 | 9 | 2022 |
| Auditing for Diversity Using Representative Examples V Keswani, LE Celis Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 5 | 2021 |
| Diverse representation via computational participatory elections-lessons from a case study F Evequoz, J Rochel, V Keswani, LE Celis Proceedings of the 2nd ACM Conference on Equity and Access in Algorithms …, 2022 | 4 | 2022 |
| A convergent and dimension-independent first-order algorithm for min-max optimization V Keswani, O Mangoubi, S Sachdeva, NK Vishnoi arXiv preprint arXiv:2006.12376, 2020 | 4* | 2020 |
| Balanced news using constrained bandit-based personalization S Kapoor, V Keswani, NK Vishnoi, LE Celis arXiv preprint arXiv:1806.09202, 2018 | 3 | 2018 |
| A dashboard for controlling polarization in personalization LE Celis, S Kapoor, F Salehi, V Keswani, NK Vishnoi Ai Communications 32 (1), 77-89, 2019 | 2 | 2019 |
| Addressing strategic manipulation disparities in fair classification V Keswani, LE Celis Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 1 | 2023 |
| A convergent and dimension-independent min-max optimization algorithm V Keswani, O Mangoubi, S Sachdeva, NK Vishnoi arXiv preprint arXiv:2006.12376, 2020 | 1 | 2020 |
| Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach V Keswani, A Mehrotra, LE Celis arXiv preprint arXiv:2402.11338, 2024 | | 2024 |
| Designing Closed-Loop Models for Task Allocation P Lukowicz HHAI 2023: Augmenting Human Intellect: Proceedings of the Second …, 2023 | | 2023 |
| Social Media Platform Structures and Their Implications V Keswani | | 2023 |
| Algorithmic Decision-Making with Stakeholder Participation V Keswani Yale University, 2023 | | 2023 |
