Fundamental limits of secretive coded caching. - Vaishakh Ravindrakumar; Parthasarathi Panda; Nikhil Karamchandani; Vinod M. Prabhakaran (ISIT, 2016)

Maxing and Ranking with Few Assumptions. - Moein Falahatgar; Yi Hao; Alon Orlitsky; Venkatadheeraj Pichapati; Vaishakh Ravindrakumar (NIPS, 2017)

The Limits of Maxing, Ranking, and Preference Learning. - Moein Falahatgar; Ayush Jain 001; Alon Orlitsky; Venkatadheeraj Pichapati; Vaishakh Ravindrakumar (ICML, 2018)

Private Coded Caching. - Vaishakh Ravindrakumar; Parthasarathi Panda; Nikhil Karamchandani; Vinod M. Prabhakaran (IEEE Trans. Inf. Forensics Secur., 2018)

SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm. - Yi Hao; Ayush Jain 001; Alon Orlitsky; Vaishakh Ravindrakumar (NeurIPS, 2020)

TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm. - Yi Hao; Ayush Jain 001; Alon Orlitsky; Vaishakh Ravindrakumar (ICML, 2022)

Robust estimation algorithms don't need to know the corruption level. - Ayush Jain 001; Alon Orlitsky; Vaishakh Ravindrakumar (CoRR, 2022)