Dheeraj Nagaraj

48 papers A* 15A 3Journal 30

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Beyond propagation of chaos: A stochastic algorithm for mean field optimization. COLT Chandan Tankala, Dheeraj Nagaraj, Anant Raj
2025	J	`jnl`	Dimension-free Score Matching and Time Bootstrapping for Diffusion Models. CoRR Syamantak Kumar, Dheeraj Nagaraj, Purnamrita Sarkar
2025	J	`jnl`	Fine-Tuning Diffusion Models via Intermediate Distribution Shaping. CoRR Gautham Govind Anil, Shaan Ul Haque, Nithish Kannen, Dheeraj Nagaraj, Sanjay Shakkottai, Karthikeyan Shanmugam
2025	J	`jnl`	Interleaved Gibbs Diffusion for Constrained Generation. CoRR Gautham Govind Anil, Sachin Yadav, Dheeraj Nagaraj, Karthikeyan Shanmugam, Prateek Jain
2025	J	`jnl`	Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds. CoRR Rishikesh Srinivasan, Dheeraj Nagaraj
2024	A*	`conf`	A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. NeurIPS Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe
2024	J	`jnl`	A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health. CoRR Nikhil Behari, Edwin Zhang, Yunfan Zhao, Aparna Taneja, Dheeraj Nagaraj, Milind Tambe
2024	J	`jnl`	Glauber Generative Model: Discrete Diffusion Models via Binary Classification. CoRR Harshit Varma, Dheeraj Nagaraj, Karthikeyan Shanmugam
2024	A*	`conf`	Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD. NeurIPS Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Sai Suggala, Prateek Varshney
2024	J	`jnl`	Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD. CoRR Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun Suggala, Prateek Varshney
2024	J	`jnl`	The Bandit Whisperer: Communication Learning for Restless Bandits. CoRR Yunfan Zhao, Tonghan Wang, Dheeraj Nagaraj, Aparna Taneja, Milind Tambe
2024	A*	`conf`	The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models. NeurIPS Saravanan Kandasamy, Dheeraj Nagaraj
2024	J	`jnl`	The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models. CoRR Saravanan Kandasamy, Dheeraj Nagaraj
2024	A	`conf`	Towards Zero Shot Learning in Restless Multi-armed Bandits. AAMAS Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2024	A*	`conf`	Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization. IJCAI Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2023	A	`conf`	Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. AISTATS Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup
2023	A	`conf`	Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. AAMAS Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe
2023	J	`jnl`	Near Optimal Heteroscedastic Regression with Symbiotic Learning. CoRR Dheeraj Baby, Aniket Das, Dheeraj Nagaraj, Praneeth Netrapalli
2023	A*	`conf`	Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation. NeurIPS Aniket Das, Dheeraj Nagaraj
2023	J	`jnl`	Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation. CoRR Aniket Das, Dheeraj Nagaraj
2023	J	`jnl`	Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization. CoRR Ramnath Kumar, Kushal Majmundar, Dheeraj Nagaraj, Arun Sai Suggala
2023	J	`jnl`	Towards Zero Shot Learning in Restless Multi-armed Bandits. CoRR Yunfan Zhao, Nikhil Behari, Edward Hughes, Edwin Zhang, Dheeraj Nagaraj, Karl Tuyls, Aparna Taneja, Milind Tambe
2022	J	`jnl`	Entropic Convergence of Random Batch Methods for Interacting Particle Diffusion. CoRR Dheeraj Nagaraj
2022	J	`jnl`	Finite time analysis of temporal difference learning with linear function approximation: Tail averaging and regularisation. CoRR Gandharv Patil, Prashanth L. A., Dheeraj Nagaraj, Doina Precup
2022	J	`jnl`	Indexability is Not Enough for Whittle: Improved, Near-Optimal Algorithms for Restless Bandits. CoRR Abheek Ghosh, Dheeraj Nagaraj, Manish Jain, Milind Tambe
2022	J	`jnl`	Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation. CoRR Ramnath Kumar, Dheeraj Nagaraj
2022	J	`jnl`	Multi-User Reinforcement Learning with Low Rank Rewards. CoRR Naman Agarwal, Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli
2021	A*	`conf`	Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. NeurIPS Suhas S. Kowshik, Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli
2021	J	`jnl`	Near-optimal Offline and Streaming Algorithms for Learning Non-Linear Dynamical Systems. CoRR Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli
2021	J	`jnl`	Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs. CoRR Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli
2021	A*	`conf`	Streaming Linear System Identification with Reverse Experience Replay. NeurIPS Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli
2021	J	`jnl`	Streaming Linear System Identification with Reverse Experience Replay. CoRR Prateek Jain, Suhas S. Kowshik, Dheeraj Nagaraj, Praneeth Netrapalli
2021	A*	`conf`	The staircase property: How hierarchical structure can guide deep learning. NeurIPS Emmanuel Abbe, Enric Boix-Adserà, Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj
2021	J	`jnl`	The staircase property: How hierarchical structure can guide deep learning. CoRR Emmanuel Abbe, Enric Boix-Adserà, Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj
2020	A*	`conf`	A Corrective View of Neural Networks: Representation, Memorization and Learning. COLT Guy Bresler, Dheeraj Nagaraj
2020	J	`jnl`	A Corrective View of Neural Networks: Representation, Memorization and Learning. CoRR Guy Bresler, Dheeraj Nagaraj
2020	J	`jnl`	A law of robustness for two-layers neural networks. CoRR Sébastien Bubeck, Yuanzhi Li, Dheeraj Nagaraj
2020	A*	`conf`	Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms. NeurIPS Dheeraj Nagaraj, Xian Wu, Guy Bresler, Prateek Jain, Praneeth Netrapalli
2020	J	`jnl`	Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms. CoRR Guy Bresler, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli, Xian Wu
2020	A*	`conf`	Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth. NeurIPS Guy Bresler, Dheeraj Nagaraj
2020	J	`jnl`	Sharp Representation Theorems for ReLU Networks with Precise Dependence on Depth. CoRR Guy Bresler, Dheeraj Nagaraj
2019	A*	`conf`	Making the Last Iterate of SGD Information Theoretically Optimal. COLT Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli
2019	J	`jnl`	Making the Last Iterate of SGD Information Theoretically Optimal. CoRR Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli
2019	J	`jnl`	Phase Transitions for Detecting Latent Geometry in Random Graphs. CoRR Matthew S. Brennan, Guy Bresler, Dheeraj Nagaraj
2019	A*	`conf`	SGD without Replacement: Sharper Rates for General Smooth Convex Functions. ICML Dheeraj Nagaraj, Prateek Jain, Praneeth Netrapalli
2019	J	`jnl`	SGD without Replacement: Sharper Rates for General Smooth Convex Functions. CoRR Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli
2018	A*	`conf`	Optimal Single Sample Tests for Structured versus Unstructured Network Data. COLT Guy Bresler, Dheeraj Nagaraj
2018	J	`jnl`	Optimal Single Sample Tests for Structured versus Unstructured Network Data. CoRR Guy Bresler, Dheeraj Nagaraj