( en | de | ru )

 

Disambiguation of "Singhal, Vikrant"

Author of the publication

copydeleteadd this publication to your clipboard
A Private and Computationally-Efficient Estimator for Unbounded Gaussians.

, , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 544-572. PMLR, (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Anil Singhal

Vikrant Upadhyay

Nishant Singhal

Rohit Singhal

Ashok Kumar Singhal

 

Other publications of authors with the same name

A Private and Computationally-Efficient Estimator for Unbounded Gaussians., , , , and . CoRR, (2021)Privately Learning High-Dimensional Distributions., , , and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1853-1902. PMLR, (2019)A Bias-Variance-Privacy Trilemma for Statistical Estimation., , , , , and . CoRR, (2023)Differentially Private Algorithms for Learning Mixtures of Separated Gaussians., , , and . NeurIPS, page 168-180. (2019)New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma., , and . NeurIPS, (2022)Private Mean Estimation of Heavy-Tailed Distributions., , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2204-2235. PMLR, (2020)A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions.. CoRR, (2023)Privately Learning Subspaces., and . NeurIPS, page 1312-1324. (2021)A Private and Computationally-Efficient Estimator for Unbounded Gaussians., , , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 544-572. PMLR, (2022)Not All Learnable Distribution Classes are Privately Learnable., , , and . ALT, volume 237 of Proceedings of Machine Learning Research, page 390-401. PMLR, (2024)