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Sushant Agarwal
Sushant Agarwal
Northeastern University
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
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
772021
Trade-offs between fairness and privacy in machine learning
S Agarwal
IJCAI 2021 Workshop on AI for Social Good, 2021
382021
On Learnability with Computable Learners
S Agarwal, N Ananthakrishnan, S Ben-David, T Lechner, R Urner
Algorithmic Learning Theory, 48-60, 2020
332020
On Trade-Offs between Fairness, Interpretability, and Privacy in Classification
S Agarwal
University of Waterloo, 2020
28*2020
Trade-offs between fairness and interpretability in machine learning
S Agarwal
IJCAI 2021 Workshop on AI for Social Good, 1-6, 2021
272021
Impossibility Results for Fair Representations
T Lechner, S Ben-David, S Agarwal, N Ananthakrishnan
arXiv preprint arXiv:2107.03483, 2021
152021
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
92022
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
Private mean estimation with person-level differential privacy
S Agarwal, G Kamath, M Majid, A Mouzakis, R Silver, J Ullman
Proceedings of the 2025 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2025
42025
Aggregating Data for Optimal and Private Learning
S Agarwal, Y Makhija, R Saket, A Raghuveer
arXiv preprint arXiv:2411.19045, 2024
2024
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Articles 1–10