Clay codes: Moulding {MDS} codes to yield an {MSR} code M Vajha, V Ramkumar, B Puranik, G Kini, E Lobo, B Sasidharan, ... 16th USENIX Conference on File and Storage Technologies (FAST 18), 139-154, 2018 | 120 | 2018 |
Soft-robust algorithms for batch reinforcement learning EA Lobo, M Ghavamzadeh, M Petrik arXiv preprint arXiv:2011.14495, 2020 | 13 | 2020 |
Axiomatic aggregations of abductive explanations G Biradar, Y Izza, E Lobo, V Viswanathan, Y Zick Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11096 …, 2024 | 6 | 2024 |
Matching Table Metadata with Business Glossaries Using Large Language Models E Lobo, O Hassanzadeh, N Pham, N Mihindukulasooriya, D Subramanian, ... arXiv preprint arXiv:2309.11506, 2023 | 2 | 2023 |
Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models A Mekala, V Dorna, S Dubey, A Lalwani, D Koleczek, M Rungta, S Hasan, ... arXiv preprint arXiv:2409.13474, 2024 | 1 | 2024 |
Percentile criterion optimization in offline reinforcement learning EA Lobo, C Cousins, Y Zick, M Petrik arXiv preprint arXiv:2404.05055, 2024 | 1 | 2024 |
Percentile Criterion Optimization in Offline Reinforcement Learning C Cousins, E Lobo, M Petrik, Y Zick Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Data poisoning attacks on off-policy policy evaluation methods E Lobo, H Singh, M Petrik, C Rudin, H Lakkaraju Uncertainty in Artificial Intelligence, 1264-1274, 2022 | | 2022 |
Behavior Policy Search for Risk Estimators in RL E Lobo, Y Chandak, D Subramanian, J Hannah, M Petrik Annual Conference on Neural Information Processing Systems, 2021 | | 2021 |
On Welfare-Centric Fair Reinforcement Learning C Cousins, K Asadi, E Lobo, ML Littman | | |
Fair and Welfare-Efficient Resource Allocation under Uncertainty C Cousins, E Lobo, J Payan, Y Zick | | |
Data Poisoning Attacks on Off-Policy Policy Evaluation Algorithms E Lobo, H Singh, M Petrik, C Rudin, H Lakkaraju ICLR 2022 Workshop on PAIR {\textasciicircum} 2Struct: Privacy …, 0 | | |