Raman Arora
Johns Hopkins University
H-index: 37
North America-United States
Top articles of Raman Arora
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond | Advances in Neural Information Processing Systems | Thanh Nguyen-Tang Raman Arora | 2024/2/13 |
Offline Multitask Representation Learning for Reinforcement Learning | arXiv preprint arXiv:2403.11574 | Haque Ishfaq Thanh Nguyen-Tang Songtao Feng Raman Arora Mengdi Wang | 2024/3/18 |
Robustness guarantees for adversarially trained neural networks | Advances in Neural Information Processing Systems | Poorya Mianjy Raman Arora | 2024/2/13 |
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates | Michael Menart Enayat Ullah Raman Arora Raef Bassily Cristóbal Guzmán | 2024/3/15 | |
Public-data Assisted Private Stochastic Optimization: Power and Limitations | arXiv preprint arXiv:2403.03856 | Enayat Ullah Michael Menart Raef Bassily Cristóbal Guzmán Raman Arora | 2024/3/6 |
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation | arXiv preprint arXiv:2402.11120 | Yunjuan Wang Hussein Hazimeh Natalia Ponomareva Alexey Kurakin Ibrahim Hammoud | 2024/2/16 |
Optimistic rates for multi-task representation learning | Advances in Neural Information Processing Systems | Austin Watkins Enayat Ullah Thanh Nguyen-Tang Raman Arora | 2024/2/13 |
Provably Efficient Neural Offline Reinforcement Learning via Perturbed Rewards | arXiv e-prints | Thanh Nguyen-Tang Raman Arora | 2023/2 |
Faster rates of convergence to stationary points in differentially private optimization | Raman Arora Raef Bassily Tomás González Cristóbal A Guzmán Michael Menart | 2023/7/3 | |
VIPeR: Provably Efficient Algorithm for Offline RL with Neural Function Approximation | Thanh Nguyen-Tang Raman Arora | 2023 | |
On instance-dependent bounds for offline reinforcement learning with linear function approximation | Proceedings of the AAAI Conference on Artificial Intelligence | Thanh Nguyen-Tang Ming Yin Sunil Gupta Svetha Venkatesh Raman Arora | 2023/6/26 |
From Adaptive Query Release to Machine Unlearning | Enayat Ullah Raman Arora | 2023 | |
A risk-sensitive approach to policy optimization | Proceedings of the AAAI Conference on Artificial Intelligence | Jared Markowitz Ryan W Gardner Ashley Llorens Raman Arora I-Jeng Wang | 2023/6/26 |
Multi-Agent Learning with Heterogeneous Linear Contextual Bandits | Advances in Neural Information Processing Systems | Anh Do Thanh Nguyen-Tang Raman Arora | 2023/12/15 |
Clustering using Approximate Nearest Neighbour Oracles | Transactions on machine learning research | Enayat Ullah Harry Lang | 2023/3 |
Robustness Guarantees for Adversarial Training on Non-Separable Data | Yunjuan Wang Kaibo Zhang Raman Arora | 2023/10/13 | |
Generalization bounds for Kernel Canonical Correlation Analysis | Transactions on Machine Learning Research | Enayat Ullah Raman Arora | 2023/3 |
Posterior Sampling via Langevin Monte Carlo for Offline Reinforcement Learning | Thanh Nguyen-Tang Ming Yin Masatoshi Uehara Yu-Xiang Wang Mengdi Wang | 2023/10/13 | |
Multiuser scheduling in centralized cognitive radio networks: A multi-armed bandit approach | IEEE Transactions on Cognitive Communications and Networking (TCCN) | Amir Alipour-Fanid Monireh Dabaghchian Raman Arora Kai Zeng | 2022/2 |
Adversarial robustness is at odds with lazy training | Advances in Neural Information Processing Systems | Yunjuan Wang Enayat Ullah Poorya Mianjy Raman Arora | 2022/12/6 |
Co-Authors
