| 2025 | ICASSP | Multivariate Time Series Data Mining for Failure Prediction & Root Cause Analysis. | Naman Agarwal, Gagan Raj Gupta, Vishwesh Jatala, Aniket Saha |
| 2025 | ICML | Provable Length Generalization in Sequence Prediction via Spectral Filtering. | Annie Marsden, Evan Dogariu, Naman Agarwal, Xinyi Chen, Daniel Suo, Elad Hazan |
| 2024 | ICAART | GenGradAttack: Efficient and Robust Targeted Adversarial Attacks Using Genetic Algorithms and Gradient-Based Fine-Tuning. | Naman Agarwal, James Pope |
| 2024 | ICML | Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements. | Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Guha Thakurta |
| 2023 | ALT | Variance-Reduced Conservative Policy Iteration. | Naman Agarwal, Brian Bullins, Karan Singh |
| 2023 | COLT | Differentially Private and Lazy Online Convex Optimization. | Naman Agarwal, Satyen Kale, Karan Singh, Abhradeep Thakurta |
| 2023 | ICML | Multi-User Reinforcement Learning with Low Rank Rewards. | Dheeraj Mysore Nagaraj, Suhas S. Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain |
| 2023 | IPIN | Alternative Approach to Integrate GNSS Doppler in Kalman Filter for Smartphone Positioning. | Naman Agarwal, Kyle O'Keefe, Richard Klukas |
| 2022 | ALT | Efficient Methods for Online Multiclass Logistic Regression. | Naman Agarwal, Satyen Kale, Julian Zimmert |
| 2022 | COLT | Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States. | Julian Zimmert, Naman Agarwal, Satyen Kale |
| 2022 | ICLR | Online Target Q-learning with Reverse Experience Replay: Efficiently finding the Optimal Policy for Linear MDPs. | Naman Agarwal, Syomantak Chaudhuri, Prateek Jain, Dheeraj Mysore Nagaraj, Praneeth Netrapalli |
| 2021 | ALT | A Deep Conditioning Treatment of Neural Networks. | Naman Agarwal, Pranjal Awasthi, Satyen Kale |
| 2021 | ICML | Acceleration via Fractal Learning Rate Schedules. | Naman Agarwal, Surbhi Goel, Cyril Zhang |
| 2021 | ICML | A Regret Minimization Approach to Iterative Learning Control. | Naman Agarwal, Elad Hazan, Anirudha Majumdar, Karan Singh |
| 2020 | ALT | Leverage Score Sampling for Faster Accelerated Regression and ERM. | Naman Agarwal, Sham M. Kakade, Rahul Kidambi, Yin Tat Lee, Praneeth Netrapalli, Aaron Sidford |
| 2020 | ICLR | Extreme Tensoring for Low-Memory Preconditioning. | Xinyi Chen, Naman Agarwal, Elad Hazan, Cyril Zhang, Yi Zhang |
| 2020 | ICML | Boosting for Control of Dynamical Systems. | Naman Agarwal, Nataly Brukhim, Elad Hazan, Zhou Lu |
| 2019 | COLT | Learning in Non-convex Games with an Optimization Oracle. | Naman Agarwal, Alon Gonen, Elad Hazan |
| 2019 | ICML | Efficient Full-Matrix Adaptive Regularization. | Naman Agarwal, Brian Bullins, Xinyi Chen, Elad Hazan, Karan Singh, Cyril Zhang, Yi Zhang |
| 2019 | ICML | Online Control with Adversarial Disturbances. | Naman Agarwal, Brian Bullins, Elad Hazan, Sham M. Kakade, Karan Singh |
| 2018 | COLT | Lower Bounds for Higher-Order Convex Optimization. | Naman Agarwal, Elad Hazan |
| 2017 | ICML | The Price of Differential Privacy for Online Learning. | Naman Agarwal, Karan Singh |
| 2017 | STOC | Finding approximate local minima faster than gradient descent. | Naman Agarwal, Zeyuan Allen Zhu, Brian Bullins, Elad Hazan, Tengyu Ma |
| 2007 | ICIW | Factors Affecting e-Tailing Website Effectiveness: An Indian Perspective. | Ankit Sharma, Yatendra Kumar Singhal, Dhawal Makhija, Anuj Kumar Goyal, Naman Agarwal, Arti Bakhshi |