Vaishakh Ravindrakumar

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 10

Top Topics

Learning Algorithm

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
TURF: A Two-factor, Universal, Robust, Fast Distribution Learning Algorithm. CoRR (2022)
Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
Robust estimation algorithms don't need to know the corruption level. CoRR (2022)
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm. ICML (2022)
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. NeurIPS (2020)
Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar
SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. CoRR (2020)
Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar
The Limits of Maxing, Ranking, and Preference Learning. ICML (2018)
Vaishakh Ravindrakumar, Parthasarathi Panda, Nikhil Karamchandani, Vinod M. Prabhakaran
Private Coded Caching. IEEE Trans. Inf. Forensics Secur. 13 (3) (2018)
Moein Falahatgar, Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar
Maxing and Ranking with Few Assumptions. NIPS (2017)
Vaishakh Ravindrakumar, Parthasarathi Panda, Nikhil Karamchandani, Vinod M. Prabhakaran
Fundamental Limits of Secretive Coded Caching. CoRR (2016)
Vaishakh Ravindrakumar, Parthasarathi Panda, Nikhil Karamchandani, Vinod M. Prabhakaran
Fundamental limits of secretive coded caching. ISIT (2016)