Nived Rajaraman


Electrical Engineering and Computer Science Department,
University of California, Berkeley
264 Cory Hall
Berkeley, CA 94720-1770
Email: nived [dot] rajaraman [at] berkeley [dot] edu

About me

I am currently a second year Ph.D. student, affiliated with the BLISS and BAIR labs. My advisors are Profs. Jiantao Jiao and Kannan Ramachandran.

I was previously a dual degree student at the Department of Electrical Engineering, IIT Madras. I was fortunate to have Ravishankar Krishnaswamy and Prof. Andrew Thangaraj as my master's thesis advisors.


I am currently exploring the theory of reinforcement learning. I believe that a succesful work in this area proposes concrete theoretical formulations and ultimately provides intuitions missing in existing practical approaches.

Recent Publications

1. Towards the Fundamental Limits of Imitation Learning

Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran

2. FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu, and Kannan Ramchandran