Interval type-2 fuzzy logic based multiclass ANFIS algorithm for real-time EEG based movement control of a robot arm S Bhattacharyya, D Basu, A Konar, DN Tibarewala Robotics and Autonomous Systems 68, 104-115, 2015 | 85 | 2015 |
Learn-as-you-go with megh: Efficient live migration of virtual machines D Basu, X Wang, Y Hong, H Chen, S Bressan IEEE Transactions on Parallel and Distributed Systems, 1-1, 2019 | 83 | 2019 |
Learn-as-you-go with megh: Efficient live migration of virtual machines D Basu, X Wang, Y Hong, H Chen, S Bressan International Conference on Distributed Computing Systems (ICDCS), 2608-2609, 2017 | 83 | 2017 |
Differential privacy for multi-armed bandits: What is it and what is its cost? D Basu, C Dimitrakakis, A Tossou arXiv preprint arXiv:1905.12298, 2019 | 42 | 2019 |
Justicia: A stochastic SAT approach to formally verify fairness B Ghosh, D Basu, KS Meel Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7554-7563, 2021 | 40 | 2021 |
UDO: universal database optimization using reinforcement learning J Wang, I Trummer, D Basu arXiv preprint arXiv:2104.01744, 2021 | 33 | 2021 |
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities A Tossou, D Basu, C Dimitrakakis arXiv preprint arXiv:1905.12425, 2019 | 33 | 2019 |
A spatially informative optic flow model of bee colony with saccadic flight strategy for global optimization S Das, S Biswas, BK Panigrahi, S Kundu, D Basu IEEE Transactions on Cybernetics 44 (10), 1884-1897, 2014 | 32 | 2014 |
Regularized cost-model oblivious database tuning with reinforcement learning D Basu, Q Lin, W Chen, HT Vo, Z Yuan, P Senellart, S Bressan Transactions on Large-Scale Data-and Knowledge-Centered Systems XXVIII …, 2016 | 29 | 2016 |
Cost-model oblivious database tuning with reinforcement learning D Basu, Q Lin, W Chen, HT Vo, Z Yuan, P Senellart, S Bressan Database and Expert Systems Applications: 26th International Conference …, 2015 | 28 | 2015 |
Sentinel: taming uncertainty with ensemble based distributional reinforcement learning H Eriksson, D Basu, M Alibeigi, C Dimitrakakis Uncertainty in Artificial Intelligence, 631-640, 2022 | 23 | 2022 |
When privacy meets partial information: A refined analysis of differentially private bandits A Azize, D Basu Advances in Neural Information Processing Systems 35, 32199-32210, 2022 | 16 | 2022 |
Algorithmic fairness verification with graphical models B Ghosh, D Basu, KS Meel Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9539-9548, 2022 | 16 | 2022 |
Deep learning for deep waters: an expert-in-the-loop machine learning framework for marine sciences I Ryazanov, AT Nylund, D Basu, IM Hassellöv, A Schliep Journal of Marine Science and Engineering 9 (2), 169, 2021 | 15 | 2021 |
Differential privacy for regularised linear regression A Dandekar, D Basu, S Bressan International Conference on Database and Expert Systems Applications, 483-491, 2018 | 15 | 2018 |
Demonstrating udo: A unified approach for optimizing transaction code, physical design, and system parameters via reinforcement learning J Wang, I Trummer, D Basu Proceedings of the 2021 International Conference on Management of Data, 2794 …, 2021 | 12 | 2021 |
Differential Privacy at Risk: Bridging Randomness and Privacy Budget A Dandekar, D Basu, S Bressan Workshop on Privacy Preserving AI, AAAI, 2020 | 12 | 2020 |
Bilinear exponential family of MDPs: frequentist regret bound with tractable exploration & planning R Ouhamma, D Basu, O Maillard Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9336-9344, 2023 | 11 | 2023 |
SAAC: Safe Reinforcement Learning as an Adversarial Game of Actor-Critics Y Flet-Berliac, D Basu RLDM 2022-The Multi-disciplinary Conference on Reinforcement Learning and …, 2021 | 11 | 2021 |
Construction and random generation of hypergraphs with prescribed degree and dimension sequences NA Arafat, D Basu, L Decreusefond, S Bressan Database and Expert Systems Applications: 31st International Conference …, 2020 | 11 | 2020 |