Bastian Oetomo

According to our database, Bastian Oetomo authored at least 8 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces.

Saumya Karunadhika, Ling Luo, Bastian Oetomo, Michele Discepola, Uwe Aickelin

Proceedings of the Data Science: Foundations and Applications, 2025

2024

Warm-Starting Contextual Bandits Under Latent Reward Scaling.

Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

No DBA? No Regret! Multi-Armed Bandits for Index Tuning of Analytical and HTAP Workloads With Provable Guarantees.

R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic

IEEE Trans. Knowl. Data Eng., December, 2023

Bandit Algorithms with Application to Database Index Selection.

Bastian Oetomo

PhD thesis, 2023

2022

HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning.

R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic

Proc. VLDB Endow., 2022

2021

Cutting to the Chase with Warm-Start Contextual Bandits.

Bastian Oetomo, R. Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein

Proceedings of the IEEE International Conference on Data Mining, 2021

DBA bandits: Self-driving index tuning under ad-hoc, analytical workloads with safety guarantees.

R. Malinga Perera, Bastian Oetomo, Benjamin I. P. Rubinstein, Renata Borovica-Gajic

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2019

A Note on Bounding Regret of the C$^2$UCB Contextual Combinatorial Bandit.

Bastian Oetomo, Malinga Perera, Renata Borovica-Gajic, Benjamin I. P. Rubinstein

CoRR, 2019