activity
20222026
most citedA Survey of Methods for Automated Algorithm Configuration

65 citations · 68 across the 7 of their papers we have counts for

collaborators

7 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.SY2025

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…

cs.LG2023★ 1 cited

Iterative Deepening Hyperband

Jasmin Brandt, Marcel Wever, Dimitrios Iliadis +2

Hyperparameter optimization (HPO) is concerned with the automated search for the most appropriate hyperparameter configuration (HPC) of a parameterized machine learning algorithm.…

cs.LG2022

AC-Band: A Combinatorial Bandit-Based Approach to Algorithm Configuration

Jasmin Brandt, Elias Schede, Viktor Bengs +3

We study the algorithm configuration (AC) problem, in which one seeks to find an optimal parameter configuration of a given target algorithm in an automated way. Recently, there ha…

cs.LG2022★ 2 cited

Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget

Jasmin Brandt, Viktor Bengs, Björn Haddenhorst +1

We consider the combinatorial bandits problem with semi-bandit feedback under finite sampling budget constraints, in which the learner can carry out its action only for a limited n…

cs.AI2022★ 65 cited

A Survey of Methods for Automated Algorithm Configuration

Elias Schede, Jasmin Brandt, Alexander Tornede +4

Algorithm configuration (AC) is concerned with the automated search of the most suitable parameter configuration of a parametrized algorithm. There is currently a wide variety of A…