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Sushant Agarwal
Sushant Agarwal
Northeastern University
Dirección de correo verificada de northeastern.edu - Página principal
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Towards the unification and robustness of perturbation and gradient based explanations
S Agarwal, S Jabbari, C Agarwal, S Upadhyay, S Wu, H Lakkaraju
International Conference on Machine Learning, 110-119, 2021
492021
Trade-offs between fairness and privacy in machine learning
S Agarwal
IJCAI 2021 Workshop on AI for Social Good, 2021
272021
On Trade-Offs between Fairness, Interpretability, and Privacy in Classification
S Agarwal
University of Waterloo, 2020
20*2020
On Learnability with Computable Learners
S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner
Algorithmic Learning Theory, 48-60, 2020
202020
Trade-offs between fairness and interpretability in machine learning
S Agarwal
IJCAI 2021 Workshop on AI for Social Good, 1-6, 2021
172021
Impossibility Results for Fair Representations
T Lechner, S Ben-David, S Agarwal, N Ananthakrishnan
arXiv preprint arXiv:2107.03483, 2021
112021
On the Power of Randomization in Fair Classification and Representation
S Agarwal, A Deshpande
2022 ACM Conference on Fairness, Accountability, and Transparency, 1542-1551, 2022
62022
Open Problem: Are all VC-classes CPAC Learnable?
S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner
Conference on Learning Theory, 4636-4641, 2021
62021
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