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Debabrota Basu
Debabrota Basu
Faculty, Inria at University of Lille and CNRS (CRIStAL)
Geverifieerd e-mailadres voor comp.nus.edu.sg - Homepage
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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
862019
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
862017
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
862015
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
442021
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
422019
UDO: universal database optimization using reinforcement learning
J Wang, I Trummer, D Basu
arXiv preprint arXiv:2104.01744, 2021
392021
Near-optimal Optimistic Reinforcement Learning using Empirical Bernstein Inequalities
A Tossou, D Basu, C Dimitrakakis
arXiv preprint arXiv:1905.12425, 2019
332019
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
322014
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
302016
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
302015
Sentinel: taming uncertainty with ensemble based distributional reinforcement learning
H Eriksson, D Basu, M Alibeigi, C Dimitrakakis
Uncertainty in Artificial Intelligence, 631-640, 2022
232022
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
162022
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
162022
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
152021
Differential privacy for regularised linear regression
A Dandekar, D Basu, S Bressan
International Conference on Database and Expert Systems Applications, 483-491, 2018
152018
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
132021
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
122021
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
122020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
A Dandekar, D Basu, S Bressan
Workshop on Privacy Preserving AI, AAAI, 2020
122020
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
112023
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Artikelen 1–20