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)

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 (ICDE, 2021)

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)

Bandit Algorithms with Application to Database Index Selection. - Bastian Oetomo (2023)

Cutting to the chase with warm-start contextual bandits. - Bastian Oetomo; R. Malinga Perera; Renata Borovica-Gajic; Benjamin I. P. Rubinstein (Knowl. Inf. Syst., 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., 2023)

Warm-Starting Contextual Bandits Under Latent Reward Scaling. - Bastian Oetomo; R. Malinga Perera; Renata Borovica-Gajic; Benjamin I. P. Rubinstein (ICDM, 2024)

VDASI: VAE-Enhanced Degradation-Aware System Identification Using Constrained Latent Spaces. - Saumya Karunadhika; Ling Luo 002; Bastian Oetomo; Michele Discepola; Uwe Aickelin (PAKDD (6), 2025)