3 papers
cs.LG2026
Provably Reduced Sample Cost in Prior-Guided Hyperparameter Optimization
Leona Hennig, Jasmin Brandt, Lukas Fehring +3
Large-scale hyperparameter optimization (HPO) in automated machine learning (AutoML) consumes substantial computational resources, raising growing concerns about scalability and en…
cs.NE2026
Analysis of Search Heuristics in the Multi-Armed Bandit Setting
Jasmin Brandt, Barbara Hammer, Timo Kötzing +1
We consider the classic Multi-Armed Bandit setting to understand the exploration/exploitation tradeoffs made by different search heuristics. Since many search heuristics work by co…
eess.SY2026
The Battle of the Water Futures
Dennis Zanutto, Christos Michalopoulos, Lydia Tsiami +12
The highly anticipated 'Battle of the Water Networks' is back with a new challenge for the water community. This competition will be hosted at the 4th International Joint Conferenc…