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Vaishakh Ravindrakumar
Vaishakh Ravindrakumar
Meta Platforms Inc.
Verified email at meta.com
Title
Cited by
Cited by
Year
Private coded caching
V Ravindrakumar, P Panda, N Karamchandani, VM Prabhakaran
IEEE Transactions on Information Forensics and Security 13 (3), 685-694, 2017
492017
Maxing and ranking with few assumptions
M Falahatgar, Y Hao, A Orlitsky, V Pichapati, V Ravindrakumar
Advances in Neural Information Processing Systems 30, 2017
452017
The limits of maxing, ranking, and preference learning
M Falahatgar, A Jain, A Orlitsky, V Pichapati, V Ravindrakumar
International conference on machine learning, 1427-1436, 2018
342018
Fundamental limits of secretive coded caching
V Ravindrakumar, P Panda, N Karamchandani, V Prabhakaran
2016 IEEE International Symposium on Information Theory (ISIT), 425-429, 2016
342016
Surf: A simple, universal, robust, fast distribution learning algorithm
Y Hao, A Jain, A Orlitsky, V Ravindrakumar
Advances in Neural Information Processing Systems 33, 10881-10890, 2020
82020
Robust estimation algorithms don't need to know the corruption level
A Jain, A Orlitsky, V Ravindrakumar
arXiv preprint arXiv:2202.05453, 2022
72022
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm
Y Hao, A Jain, A Orlitsky, V Ravindrakumar
International Conference on Machine Learning, 8427-8445, 2022
2022
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