| Remember what you want to forget: Algorithms for machine unlearning A Sekhari, J Acharya, G Kamath, AT Suresh Advances in Neural Information Processing Systems 34, 18075-18086, 2021 | 254 | 2021 |
| Uniform convergence of gradients for non-convex learning and optimization DJ Foster, A Sekhari, K Sridharan Advances in neural information processing systems 31, 2018 | 84 | 2018 |
| Hybrid rl: Using both offline and online data can make rl efficient Y Song, Y Zhou, A Sekhari, JA Bagnell, A Krishnamurthy, W Sun arXiv preprint arXiv:2210.06718, 2022 | 81 | 2022 |
| Guarantees for epsilon-greedy reinforcement learning with function approximation C Dann, Y Mansour, M Mohri, A Sekhari, K Sridharan International conference on machine learning, 4666-4689, 2022 | 63 | 2022 |
| Second-order information in non-convex stochastic optimization: Power and limitations Y Arjevani, Y Carmon, JC Duchi, DJ Foster, A Sekhari, K Sridharan Conference on Learning Theory, 242-299, 2020 | 60 | 2020 |
| The complexity of making the gradient small in stochastic convex optimization DJ Foster, A Sekhari, O Shamir, N Srebro, K Sridharan, B Woodworth Conference on Learning Theory, 1319-1345, 2019 | 60 | 2019 |
| Sgd: The role of implicit regularization, batch-size and multiple-epochs A Sekhari, K Sridharan, S Kale Advances In Neural Information Processing Systems 34, 27422-27433, 2021 | 38 | 2021 |
| Provably efficient reinforcement learning in partially observable dynamical systems M Uehara, A Sekhari, JD Lee, N Kallus, W Sun Advances in Neural Information Processing Systems 35, 578-592, 2022 | 37 | 2022 |
| Hidden poison: Machine unlearning enables camouflaged poisoning attacks JZ Di, J Douglas, J Acharya, G Kamath, A Sekhari NeurIPS ML Safety Workshop, 2022 | 36 | 2022 |
| On the complexity of adversarial decision making DJ Foster, A Rakhlin, A Sekhari, K Sridharan Advances in Neural Information Processing Systems 35, 35404-35417, 2022 | 31 | 2022 |
| Neural active learning with performance guarantees Z Wang, P Awasthi, C Dann, A Sekhari, C Gentile Advances in Neural Information Processing Systems 34, 7510-7521, 2021 | 25 | 2021 |
| Agnostic reinforcement learning with low-rank MDPs and rich observations A Sekhari, C Dann, M Mohri, Y Mansour, K Sridharan Advances in Neural Information Processing Systems 34, 19033-19045, 2021 | 15 | 2021 |
| A note on model-free reinforcement learning with the decision-estimation coefficient DJ Foster, N Golowich, J Qian, A Rakhlin, A Sekhari arXiv preprint arXiv:2211.14250, 2022 | 13 | 2022 |
| Computationally efficient pac rl in pomdps with latent determinism and conditional embeddings M Uehara, A Sekhari, JD Lee, N Kallus, W Sun International Conference on Machine Learning, 34615-34641, 2023 | 12 | 2023 |
| Reinforcement learning with feedback graphs C Dann, Y Mansour, M Mohri, A Sekhari, K Sridharan Advances in Neural Information Processing Systems 33, 16868-16878, 2020 | 12 | 2020 |
| From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent S Kale, JD Lee, C De Sa, A Sekhari, K Sridharan arXiv preprint arXiv:2210.06705, 2022 | 10* | 2022 |
| Model-free reinforcement learning with the decision-estimation coefficient DJ Foster, N Golowich, J Qian, A Rakhlin, A Sekhari Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Selective sampling and imitation learning via online regression A Sekhari, K Sridharan, W Sun, R Wu Advances in Neural Information Processing Systems 36, 2024 | 8 | 2024 |
| Contextual bandits and imitation learning via preference-based active queries A Sekhari, K Sridharan, W Sun, R Wu arXiv preprint arXiv:2307.12926, 2023 | 8 | 2023 |
| Machine unlearning fails to remove data poisoning attacks M Pawelczyk, JZ Di, Y Lu, G Kamath, A Sekhari, S Neel arXiv preprint arXiv:2406.17216, 2024 | 7 | 2024 |
Karthik SridharanCornell University, University of Pennsylvania, Toyota Technological InstituteVerified email at ttic.edu
