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2020 – today
- 2023
[i10]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)- 2022
- [c7]Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass Estimation from Sticky Channels. ISIT 2022: 910-915 - [i9]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) - [i8]Amirali Aghazadeh, Nived Rajaraman, Tony Tu, Kannan Ramchandran:
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces. CoRR abs/2210.02604 (2022) - 2021
- [j1]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) - [c6]Swanand Kadhe, Nived Rajaraman, Kannan Ramchandran:
FastShare: Scalable Secret Sharing by Leveraging Locality. ISIT 2021: 1118-1123 - [c5]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 - [i7]Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Rank-2 Markov Chains. CoRR abs/2102.01938 (2021) - [i6]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) - [i5]Fnu Devvrit, Nived Rajaraman, Pranjal Awasthi:
Semi-supervised Active Regression. CoRR abs/2106.06676 (2021) - 2020
- [c4]Prafulla Chandra, Andrew Thangaraj, Nived Rajaraman:
Missing Mass of Markov Chains. ISIT 2020: 1207-1212 - [c3]Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran:
Toward the Fundamental Limits of Imitation Learning. NeurIPS 2020 - [i4]Nived Rajaraman, Lin F. Yang, Jiantao Jiao, Kannan Ramchandran:
Toward the Fundamental Limits of Imitation Learning. CoRR abs/2009.05990 (2020) - [i3]Swanand Kadhe, Nived Rajaraman, Onur Ozan Koyluoglu, Kannan Ramchandran:
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning. CoRR abs/2009.11248 (2020)
2010 – 2019
- 2019
- [c2]Devvrit, Ravishankar Krishnaswamy, Nived Rajaraman:
Robust Correlation Clustering. APPROX-RANDOM 2019: 33:1-33:18 - [c1]Nived Rajaraman, Prafulla Chandra, Andrew Thangaraj, Ananda Theertha Suresh:
Convergence of Chao Unseen Species Estimator. ISIT 2019: 46-50 - 2018
- [i2]Nived Rajaraman, Rahul Vaze:
Submodular Maximization Under A Matroid Constraint: Asking more from an old friend, the Greedy Algorithm. CoRR abs/1810.12861 (2018) - [i1]Nived Rajaraman, Rahul Vaze, Goonwanth Reddy:
Not Just Age but Age and Quality of Information. CoRR abs/1812.08617 (2018)
Coauthor Index
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