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Elisa Celis
Elisa Celis
Verified email at yale.edu - Homepage
Title
Cited by
Cited by
Year
Ranking with fairness constraints
LE Celis, D Straszak, NK Vishnoi
arXiv preprint arXiv:1704.06840, 2017
3502017
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
3192019
Assessing social and intersectional biases in contextualized word representations
YC Tan, LE Celis
Advances in neural information processing systems 32, 2019
2132019
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
191*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
138*2019
Multiwinner voting with fairness constraints
LE Celis, L Huang, NK Vishnoi
arXiv preprint arXiv:1710.10057, 2017
1182017
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
932014
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
652020
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
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
572013
Toward controlling discrimination in online ad auctions
E Celis, A Mehrotra, N Vishnoi
International Conference on Machine Learning, 4456-4465, 2019
532019
Mitigating bias in set selection with noisy protected attributes
A Mehrotra, LE Celis
Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021
522021
Data preprocessing to mitigate bias: A maximum entropy based approach
LE Celis, V Keswani, N Vishnoi
International conference on machine learning, 1349-1359, 2020
522020
Improved adversarial learning for fair classification
LE Celis, V Keswani
arXiv preprint arXiv:1901.10443, 2019
462019
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
41*2017
Fair classification with adversarial perturbations
LE Celis, A Mehrotra, N Vishnoi
Advances in Neural Information Processing Systems 34, 8158-8171, 2021
362021
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
362016
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
352017
Implicit diversity in image summarization
LE Celis, V Keswani
Proceedings of the ACM on Human-Computer Interaction 4 (CSCW2), 1-28, 2020
332020
A general framework for sensor placement in source localization
B Spinelli, LE Celis, P Thiran
IEEE Transactions on Network Science and Engineering 6 (2), 86-102, 2017
332017
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