| FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S Kadhe, N Rajaraman, OO Koyluoglu, K Ramchandran arXiv preprint arXiv:2009.11248, 2020 | 138 | 2020 |
| Toward the fundamental limits of imitation learning N Rajaraman, L Yang, J Jiao, K Ramchandran Advances in Neural Information Processing Systems 33, 2914-2924, 2020 | 62 | 2020 |
| Not just age but age and quality of information N Rajaraman, R Vaze, G Reddy IEEE Journal on Selected Areas in Communications 39 (5), 1325-1338, 2021 | 47 | 2021 |
| On the Value of Interaction and Function Approximation in Imitation Learning N Rajaraman, Y Han, L Yang, J Liu, J Jiao, K Ramchandran Advances in Neural Information Processing Systems 34, 1325-1336, 2021 | 15 | 2021 |
| Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally N Rajaraman, Y Han, LF Yang, K Ramchandran, J Jiao arXiv preprint arXiv:2102.12948, 2021 | 9 | 2021 |
| Submodular maximization under a matroid constraint: Asking more from an old friend, the greedy algorithm N Rajaraman, R Vaze arXiv preprint arXiv:1810.12861, 2018 | 8 | 2018 |
| Minimax Optimal Online Imitation Learning via Replay Estimation G Swamy, N Rajaraman, M Peng, S Choudhury, J Bagnell, SZ Wu, J Jiao, ... Advances in Neural Information Processing Systems 35, 7077-7088, 2022 | 6 | 2022 |
| Sample Efficient Deep Reinforcement Learning via Local Planning D Yin, S Thiagarajan, N Lazic, N Rajaraman, B Hao, C Szepesvari arXiv preprint arXiv:2301.12579, 2023 | 5 | 2023 |
| Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits N Rajaraman, Y Han, J Jiao, K Ramchandran arXiv preprint arXiv:2302.06025, 2023 | 3 | 2023 |
| Robust Correlation Clustering R Krishnaswamy, N Rajaraman Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2019 | 3 | 2019 |
| Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces A Aghazadeh, N Rajaraman, T Tu, K Ramchandran arXiv preprint arXiv:2210.02604, 2022 | 1 | 2022 |
| Missing Mass of Markov Chains P Chandra, A Thangaraj, N Rajaraman 2020 IEEE International Symposium on Information Theory (ISIT), 1207-1212, 2020 | 1* | 2020 |
| Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing N Rajaraman, F Devvrit, A Mokhtari, K Ramchandran Thirty-seventh Conference on Neural Information Processing Systems, 2023 | | 2023 |
| Semi-supervised Active Linear Regression N Rajaraman, F Devvrit, P Awasthi Advances in Neural Information Processing Systems, 2022 | | 2022 |
| Convergence of Chao unseen species estimator N Rajaraman, P Chandra, A Thangaraj, AT Suresh 2019 IEEE International Symposium on Information Theory (ISIT), 46-50, 2019 | | 2019 |
Kannan RamchandranProfessor of Electrical Engineering and Computer Science, UC BerkeleyVerified email at eecs.berkeley.edu
