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20212026
most citedA Survey of Methods for Automated Algorithm Configuration

65 citations · 115 across the 19 of their papers we have counts for

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7 papers · 1 filter

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…

stat.ML2022

On the Calibration of Probabilistic Classifier Sets

Thomas Mortier, Viktor Bengs, Eyke Hüllermeier +2

Multi-class classification methods that produce sets of probabilistic classifiers, such as ensemble learning methods, are able to model aleatoric and epistemic uncertainty. Aleator…

cs.LG2022★ 6 cited

Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation

Viktor Bengs, Eyke Hüllermeier, Willem Waegeman

Uncertainty quantification has received increasing attention in machine learning in the recent past. In particular, a distinction between aleatoric and epistemic uncertainty has be…

cs.LG2022

Non-Stationary Dueling Bandits

Patrick Kolpaczki, Viktor Bengs, Eyke Hüllermeier

We study the non-stationary dueling bandits problem with arms, where the time horizon consists of stationary segments, each of which is associated with its own preferen…

cs.LG2022

Stochastic Contextual Dueling Bandits under Linear Stochastic Transitivity Models

Viktor Bengs, Aadirupa Saha, Eyke Hüllermeier

We consider the regret minimization task in a dueling bandits problem with context information. In every round of the sequential decision problem, the learner makes a context-depen…

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…