3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.SE2025
Towards Continuous Experiment-driven MLOps
Keerthiga Rajenthiram, Milad Abdullah, Ilias Gerostathopoulos +5
Despite advancements in MLOps and AutoML, ML development still remains challenging for data scientists. First, there is poor support for and limited control over optimizing and evo…
cs.LG2023★ 3 cited
Ensemble-based modeling abstractions for modern self-optimizing systems
Michal Töpfer, Milad Abdullah, Tomáš Bureš +2
In this paper, we extend our ensemble-based component model DEECo with the capability to use machine-learning and optimization heuristics in establishing and reconfiguration of aut…