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 | 366 | 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 | 137 | 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 | 80 | 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 | 72* | 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 | 72 | 2020 |
Improved adversarial learning for fair classification LE Celis, V Keswani arXiv preprint arXiv:1901.10443, 2019 | 58 | 2019 |
Implicit diversity in image summarization LE Celis, V Keswani Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-28, 2020 | 42 | 2020 |
Dialect diversity in text summarization on twitter V Keswani, LE Celis Proceedings of the Web Conference 2021, 3802-3814, 2021 | 24 | 2021 |
Designing closed human-in-the-loop deferral pipelines V Keswani, M Lease, K Kenthapadi arXiv preprint arXiv:2202.04718, 2022 | 10 | 2022 |
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 | 6 | 2022 |
Auditing for Diversity Using Representative Examples V Keswani, LE Celis Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 6 | 2021 |
Addressing strategic manipulation disparities in fair classification V Keswani, LE Celis Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023 | 4 | 2023 |
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 convergent and dimension-independent min-max optimization algorithm V Keswani, O Mangoubi, S Sachdeva, NK Vishnoi arXiv preprint arXiv:2006.12376, 2020 | 2 | 2020 |
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 |
On the stability of moral preferences: A problem with computational elicitation methods K Boerstler, V Keswani, L Chan, JS Borg, V Conitzer, H Heidari, ... Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 156-167, 2024 | 1 | 2024 |
Algorithmic Fairness From the Perspective of Legal Anti-discrimination Principles V Keswani, LE Celis Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 724-737, 2024 | 1 | 2024 |
On the Pros and Cons of Active Learning for Moral Preference Elicitation V Keswani, V Conitzer, H Heidari, JS Borg, W Sinnott-Armstrong Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7, 711-723, 2024 | | 2024 |
Fair Classification with Partial Feedback: An Exploration-Based Data-Collection Approach V Keswani, A Mehrotra, LE Celis Proceedings of 41st International Conference on Machine Learning 235, 23547 …, 2024 | | 2024 |