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Vijay Keswani
Vijay Keswani
在 yale.edu 的电子邮件经过验证 - 首页
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引用次数
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年份
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
3662019
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
1372018
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
802021
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
722020
Improved adversarial learning for fair classification
LE Celis, V Keswani
arXiv preprint arXiv:1901.10443, 2019
582019
Implicit diversity in image summarization
LE Celis, V Keswani
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-28, 2020
422020
Dialect diversity in text summarization on twitter
V Keswani, LE Celis
Proceedings of the Web Conference 2021, 3802-3814, 2021
242021
Designing closed human-in-the-loop deferral pipelines
V Keswani, M Lease, K Kenthapadi
arXiv preprint arXiv:2202.04718, 2022
102022
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
62022
Auditing for Diversity Using Representative Examples
V Keswani, LE Celis
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
62021
Addressing strategic manipulation disparities in fair classification
V Keswani, LE Celis
Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms …, 2023
42023
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
32018
A convergent and dimension-independent min-max optimization algorithm
V Keswani, O Mangoubi, S Sachdeva, NK Vishnoi
arXiv preprint arXiv:2006.12376, 2020
22020
A dashboard for controlling polarization in personalization
LE Celis, S Kapoor, F Salehi, V Keswani, NK Vishnoi
Ai Communications 32 (1), 77-89, 2019
22019
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
12024
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
12024
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
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