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Author

Nived Rajaraman

Observed name: Rajaraman, Nived
OpenAlex ID: A5064641699
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
2020 · Kadhe, Swanand, Rajaraman, Nived, et al. · arXiv (Cornell University) · 128
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Not Just Age but Age and Quality of Information
2021 · Nived Rajaraman, Rahul Vaze, et al. · IEEE Journal on Selected Areas in Communications · 55
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Toward the Fundamental Limits of Imitation Learning
2020 · Rajaraman, Nived, Yang, Lin F., et al. · arXiv (Cornell University) · 23
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Submodular Maximization Under A Matroid Constraint: Asking more from an old friend, the Greedy Algorithm
2018 · Rajaraman, Nived, Vaze, Rahul · arXiv (Cornell University) · 5
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Toward a Theory of Tokenization in LLMs
2024 · Rajaraman, Nived, Jiao, Jiantao, et al. · arXiv (Cornell University) · 4
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Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
2021 · Rajaraman, Nived, Han, Yanjun, et al. · arXiv (Cornell University) · 3
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Sample Efficient Deep Reinforcement Learning via Local Planning
2023 · Yin, Dong, Thiagarajan, Sridhar, et al. · arXiv (Cornell University) · 2
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Missing Mass Estimation from Sticky Channels
2022 · Prafulla Chandra, Andrew Thangaraj, et al. · IEEE International Symposium on Information Theory (ISIT) · 2
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Robust Correlation Clustering
2019 · Devvrit, Krishnaswamy, Ravishankar, et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2
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Statistical complexity and optimal algorithms for nonlinear ridge bandits
2024 · Nived Rajaraman, Yanjun Han, et al. · The Annals of Statistics · 1
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An Analysis of Tokenization: Transformers under Markov Data
2024 · Nived Rajaraman, Jiantao Jiao, et al. · neural information processing systems · 1
Transformers on Markov data: Constant depth suffices
2024 · Nived Rajaraman, Marco Bondaschi, et al. · neural information processing systems · 1
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Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
2023 · Nived Rajaraman, Fnu Devvrit, et al. · neural information processing systems · 1
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Minimax Optimal Online Imitation Learning Via Replay Estimation
2022 · Gokul Swamy, Nived Rajaraman, et al. · neural information processing systems · 1
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FastShare: Scalable Secret Sharing by Leveraging Locality
2021 · Swanand Kadhe, Nived Rajaraman, et al. · IEEE International Symposium on Information Theory (ISIT) · 1
Semi-supervised Active Regression
2021 · Devvrit, Fnu, Rajaraman, Nived, et al. · arXiv (Cornell University) · 1
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Missing Mass of Markov Chains
2020 · Prafulla Chandra, Andrew Thangaraj, et al. · IEEE International Symposium on Information Theory (ISIT) · 1
Convergence of Chao Unseen Species Estimator
2019 · Nived Rajaraman, Prafulla Chandra, et al. · IEEE International Symposium on Information Theory (ISIT) · 1
The Price of Hidden Curvature: Improved Lower Bounds for Bandit Convex Optimization
2026 · Rajaraman, Nived, Han, Yanjun · arXiv (Cornell University)
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Learning to Reason with Curriculum II: Compositional Generalization
2026 · Rajaraman, Nived, Huang, Audrey, et al. · arXiv (Cornell University)
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Select and Improve: Understanding the Mechanics of Post-Training for Reasoning
2026 · Krishnamurthy, Akshay, Huang, Audrey, et al. · arXiv (Cornell University)
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Learning to Reason with Curriculum I: Provable Benefits of Autocurriculum
2026 · Rajaraman, Nived, Huang, Audrey, et al. · arXiv (Cornell University)
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Interactive Learning of Single-Index Models via Stochastic Gradient Descent
2026 · Rajaraman, Nived, Han, Yanjun · arXiv (Cornell University)
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The Space Complexity of Learning-Unlearning Algorithms
2025 · Cherapanamjeri, Yeshwanth, Garg, Sumegha, et al. · arXiv (Cornell University)
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Computational Intractability of Strategizing against Online Learners
2025 · Assos, Angelos, Dagan, Yuval, et al. · arXiv (Cornell University)
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Works count: 35
Citation count: 233
H-index: 4
I10-index: 3
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