Nived Rajaraman
Nived Rajaraman
EECS PhD student at UC Berkeley
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Zitiert von
Zitiert von
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
S Kadhe, N Rajaraman, OO Koyluoglu, K Ramchandran
arXiv preprint arXiv:2009.11248, 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
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
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
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
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
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
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
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
N Rajaraman, Y Han, J Jiao, K Ramchandran
arXiv preprint arXiv:2302.06025, 2023
Robust Correlation Clustering
R Krishnaswamy, N Rajaraman
Approximation, Randomization, and Combinatorial Optimization. Algorithms and …, 2019
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
A Aghazadeh, N Rajaraman, T Tu, K Ramchandran
arXiv preprint arXiv:2210.02604, 2022
Semi-supervised Active Linear Regression
N Rajaraman, F Devvrit, P Awasthi
Advances in Neural Information Processing Systems, 2022
Missing Mass of Markov Chains
P Chandra, A Thangaraj, N Rajaraman
2020 IEEE International Symposium on Information Theory (ISIT), 1207-1212, 2020
Toward a Theory of Tokenization in LLMs
N Rajaraman, J Jiao, K Ramchandran
arXiv preprint arXiv:2404.08335, 2024
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
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
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