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Publication search results
found 27 matches
- 2024
- Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
How good is Good-Turing for Markov samples? Trans. Mach. Learn. Res. 2024 (2024) - Nived Rajaraman, Jiantao Jiao, Kannan Ramchandran:
Toward a Theory of Tokenization in LLMs. CoRR abs/2404.08335 (2024) - Nived Rajaraman, Marco Bondaschi, Kannan Ramchandran, Michael Gastpar, Ashok Vardhan Makkuva:
Transformers on Markov Data: Constant Depth Suffices. CoRR abs/2407.17686 (2024) - 2023
- Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran:
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces. Trans. Mach. Learn. Res. 2023 (2023) - Nived Rajaraman, Devvrit, Aryan Mokhtari, Kannan Ramchandran:
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing. NeurIPS 2023 - Dong Yin, Sridhar Thiagarajan, Nevena Lazic, Nived Rajaraman, Botao Hao, Csaba Szepesvári:
Sample Efficient Deep Reinforcement Learning via Local Planning. CoRR abs/2301.12579 (2023) - Nived Rajaraman, Yanjun Han, Jiantao Jiao, Kannan Ramchandran:
Beyond UCB: Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits. CoRR abs/2302.06025 (2023) - Nived Rajaraman, Devvrit, Aryan Mokhtari, Kannan Ramchandran:
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing and Neural Networks with Quadratic Activations. CoRR abs/2303.11453 (2023) - 2022
- Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass Estimation from Sticky Channels. ISIT 2022: 910-915 - Nived Rajaraman, Devvrit, Pranjal Awasthi:
Semi-supervised Active Linear Regression. NeurIPS 2022 - Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Steven Wu, Jiantao Jiao, Kannan Ramchandran:
Minimax Optimal Online Imitation Learning via Replay Estimation. NeurIPS 2022 - Gokul Swamy, Nived Rajaraman, Matthew Peng, Sanjiban Choudhury, J. Andrew Bagnell, Zhiwei Steven Wu, Jiantao Jiao, Kannan Ramchandran:
Minimax Optimal Online Imitation Learning via Replay Estimation. CoRR abs/2205.15397 (2022) - Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran:
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces. CoRR abs/2210.02604 (2022) - 2021
- Nived Rajaraman, Rahul Vaze, Goonwanth Reddy:
Not Just Age but Age and Quality of Information. IEEE J. Sel. Areas Commun. 39(5): 1325-1338 (2021) - Swanand Kadhe, Nived Rajaraman, Kannan Ramchandran:
FastShare: Scalable Secret Sharing by Leveraging Locality. ISIT 2021: 1118-1123 - Nived Rajaraman, Yanjun Han, Lin Yang, Jingbo Liu, Jiantao Jiao, Kannan Ramchandran:
On the Value of Interaction and Function Approximation in Imitation Learning. NeurIPS 2021: 1325-1336 - Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Rank-2 Markov Chains. CoRR abs/2102.01938 (2021) - Nived Rajaraman, Yanjun Han, Lin F. Yang, Kannan Ramchandran, Jiantao Jiao:
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally. CoRR abs/2102.12948 (2021) - Devvrit, Nived Rajaraman, Pranjal Awasthi:
Semi-supervised Active Regression. CoRR abs/2106.06676 (2021) - 2020
- Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Markov Chains. ISIT 2020: 1207-1212 - Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran:
Toward the Fundamental Limits of Imitation Learning. NeurIPS 2020 - Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran:
Toward the Fundamental Limits of Imitation Learning. CoRR abs/2009.05990 (2020) - Swanand Kadhe, Nived Rajaraman, Onur Ozan Koyluoglu, Kannan Ramchandran:
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning. CoRR abs/2009.11248 (2020) - 2019
- Devvrit, Ravishankar Krishnaswamy, Nived Rajaraman:
Robust Correlation Clustering. APPROX-RANDOM 2019: 33:1-33:18 - Nived Rajaraman, Prafulla Chandra, Andrew Thangaraj, Ananda Theertha Suresh:
Convergence of Chao Unseen Species Estimator. ISIT 2019: 46-50 - 2018
- Nived Rajaraman, Rahul Vaze:
Submodular Maximization Under A Matroid Constraint: Asking more from an old friend, the Greedy Algorithm. CoRR abs/1810.12861 (2018) - Nived Rajaraman, Rahul Vaze, Goonwanth Reddy:
Not Just Age but Age and Quality of Information. CoRR abs/1812.08617 (2018)
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