Search Results for author: Holger Hoos

Found 8 papers, 1 papers with code

Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML

no code implementations17 Jul 2023 Lennart Purucker, Lennart Schneider, Marie Anastacio, Joeran Beel, Bernd Bischl, Holger Hoos

Automated machine learning (AutoML) systems commonly ensemble models post hoc to improve predictive performance, typically via greedy ensemble selection (GES).


AutoML Adoption in ML Software

no code implementations ICML Workshop AutoML 2021 Koen van der Blom, Alex Serban, Holger Hoos, Joost Visser

Machine learning (ML) has become essential to a vast range of applications, while ML experts are in short supply.


Adoption and Effects of Software Engineering Best Practices in Machine Learning

no code implementations28 Jul 2020 Alex Serban, Koen van der Blom, Holger Hoos, Joost Visser

We conducted a survey among 313 practitioners to determine the degree of adoption for these practices and to validate their perceived effects.

Software Engineering

ASlib: A Benchmark Library for Algorithm Selection

2 code implementations8 Jun 2015 Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Frechette, Holger Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren

To address this problem, we introduce a standardized format for representing algorithm selection scenarios and a repository that contains a growing number of data sets from the literature.

The Configurable SAT Solver Challenge (CSSC)

no code implementations5 May 2015 Frank Hutter, Marius Lindauer, Adrian Balint, Sam Bayless, Holger Hoos, Kevin Leyton-Brown

It is well known that different solution strategies work well for different types of instances of hard combinatorial problems.

claspfolio 2: Advances in Algorithm Selection for Answer Set Programming

no code implementations7 May 2014 Holger Hoos, Marius Lindauer, Torsten Schaub

The claspfolio 2 solver framework supports various feature generators, solver selection approaches, solver portfolios, as well as solver-schedule-based pre-solving techniques.

Solver Scheduling via Answer Set Programming

no code implementations6 Jan 2014 Holger Hoos, Roland Kaminski, Marius Lindauer, Torsten Schaub

Although Boolean Constraint Technology has made tremendous progress over the last decade, the efficacy of state-of-the-art solvers is known to vary considerably across different types of problem instances and is known to depend strongly on algorithm parameters.

Benchmarking Scheduling

Bayesian Optimization With Censored Response Data

no code implementations7 Oct 2013 Frank Hutter, Holger Hoos, Kevin Leyton-Brown

Bayesian optimization (BO) aims to minimize a given blackbox function using a model that is updated whenever new evidence about the function becomes available.

Bayesian Optimization

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