Vaishakh Ravindrakumar

According to our database, Vaishakh Ravindrakumar authored at least 7 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Robust estimation algorithms don't need to know the corruption level.

Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

CoRR, 2022

TURF: Two-Factor, Universal, Robust, Fast Distribution Learning Algorithm.

Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

Proceedings of the International Conference on Machine Learning, 2022

2020

SURF: A Simple, Universal, Robust, Fast Distribution Learning Algorithm.

Yi Hao, Ayush Jain, Alon Orlitsky, Vaishakh Ravindrakumar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Private Coded Caching.

Vaishakh Ravindrakumar, Parthasarathi Panda, Nikhil Karamchandani, Vinod M. Prabhakaran

IEEE Trans. Inf. Forensics Secur., 2018

The Limits of Maxing, Ranking, and Preference Learning.

Moein Falahatgar, Ayush Jain, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Maxing and Ranking with Few Assumptions.

Moein Falahatgar, Yi Hao, Alon Orlitsky, Venkatadheeraj Pichapati, Vaishakh Ravindrakumar

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Fundamental limits of secretive coded caching.

Vaishakh Ravindrakumar, Parthasarathi Panda, Nikhil Karamchandani, Vinod M. Prabhakaran

Proceedings of the IEEE International Symposium on Information Theory, 2016