Rajaraman, Nived

1. Toward the Fundamental Limits of Imitation Learning
   2020/09/13 by Nived Rajaraman, Lin F. Yang, Rajaraman, Nived +5 · 13 citations
   Computer Science · Engineering · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Robot Manipulation and Learning
2. FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
   2020/09/23 by Swanand Kadhe, Kadhe, Swanand, Nived Rajaraman +5 · 8 citations
   Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
3. Scaling Test-Time Compute Without Verification or RL is Suboptimal
   2025/02/17 by Amrith Setlur, Nived Rajaraman, Setlur, Amrith +5 · 21 citations
   Computer Science · #Embedded Systems Design Techniques #Parallel Computing and Optimization Techniques #Software Testing and Debugging Techniques
4. Transformers on Markov Data: Constant Depth Suffices
   2024/07/25 by Rajaraman, Nived, Bondaschi, Marco, Ramchandran, Kannan +2 · 7 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Not Just Age but Age and Quality of Information
   2018/12/20 by Rajaraman, Nived, Vaze, Rahul, Reddy, Goonwanth · 2 citations
   #FOS: Computer and information sciences #Information Theory (cs.IT)
6. From Markov to Laplace: How Mamba In-Context Learns Markov Chains
   2025/02/14 by Bondaschi, Marco, Rajaraman, Nived, Wei, Xiuying +5 · 4 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG)
7. Toward a Theory of Tokenization in LLMs
   2024/04/12 by Rajaraman, Nived, Jiao, Jiantao, Ramchandran, Kannan · 2 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
8. Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
   2021/02/25 by Nived Rajaraman, Yanjun Han, Rajaraman, Nived +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
9. Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
   2023/02/12 by Nived Rajaraman, Rajaraman, Nived, Yanjun Han +5 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
10. Computational Intractability of Strategizing against Online Learners
    2025/03/06 by Angelos Assos, Yuval Dagan, Assos, Angelos +3 · 2 citations
    Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Game Theory and Applications
11. Sample Efficient Deep Reinforcement Learning via Local Planning
    2023/01/29 by Dong Yin, Yin, Dong, Sridhar Thiagarajan +9 · 1 voice · 1 citation
    Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Artificial Intelligence in Games