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Vikrant Singhal
Vikrant Singhal
Postdoctoral Fellow, University of Waterloo
Verified email at northeastern.edu - Homepage
Title
Cited by
Cited by
Year
Privately learning high-dimensional distributions
G Kamath, J Li, V Singhal, J Ullman
Conference on Learning Theory, 1853-1902, 2019
672019
Private mean estimation of heavy-tailed distributions
G Kamath, V Singhal, J Ullman
Conference on Learning Theory, 2204-2235, 2020
462020
Deterministic and probabilistic binary search in graphs
E Emamjomeh-Zadeh, D Kempe, V Singhal
Proceedings of the forty-eighth annual ACM symposium on Theory of Computing …, 2016
462016
Differentially private algorithms for learning mixtures of separated gaussians
G Kamath, O Sheffet, V Singhal, J Ullman
Neural Information Processing Systems (NeurIPS) 2019, 2019
262019
A private and computationally-efficient estimator for unbounded gaussians
G Kamath, A Mouzakis, V Singhal, T Steinke, J Ullman
Conference on Learning Theory, 544-572, 2022
72022
Privately learning subspaces
V Singhal, T Steinke
Advances in Neural Information Processing Systems 34, 1312-1324, 2021
52021
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
G Kamath, A Mouzakis, V Singhal
arXiv preprint arXiv:2205.08532, 2022
32022
Differentially Private Statistical Estimation
V Singhal
Northeastern University, 2021
2021
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