DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees RM Perera, B Oetomo, BIP Rubinstein, R Borovica-Gajic 2021 IEEE 37th International Conference on Data Engineering (ICDE), 600-611, 2021 | 36 | 2021 |
HMAB: self-driving hierarchy of bandits for integrated physical database design tuning RM Perera, B Oetomo, BIP Rubinstein, R Borovica-Gajic Proceedings of the VLDB Endowment 16 (2), 216-229, 2022 | 11 | 2022 |
No DBA? No regret! Multi-armed bandits for index tuning of analytical and HTAP workloads with provable guarantees RM Perera, B Oetomo, BIP Rubinstein, R Borovica-Gajic IEEE Transactions on Knowledge and Data Engineering 35 (12), 12855-12872, 2023 | 8 | 2023 |
Cutting to the chase with warm-start contextual bandits B Oetomo, RM Perera, R Borovica-Gajic, BIP Rubinstein Knowledge and Information Systems, 1-33, 2023 | 5 | 2023 |
A Note on Bounding Regret of the CUCB Contextual Combinatorial Bandit B Oetomo, M Perera, R Borovica-Gajic, BIP Rubinstein arXiv preprint arXiv:1902.07500, 2019 | 4 | 2019 |
Reading and Understanding Storm UI RM Perera [Online] Available at https://www.malinga.me/reading-and-understanding-the …, 2008 | 3* | 2008 |
Cutting to the chase with warm-start contextual bandits BIP Oetomo, Bastian and Perera, R Malinga and Borovica-Gajic, Renata and ... 2021 IEEE International Conference on Data Mining (ICDM), 459-468, 2021 | | 2021 |