Lars Kotthoff

According to our database1, Lars Kotthoff authored at least 52 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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In proceedings 
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PhD thesis 
Other 

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Bibliography

2019
The algorithm selection competitions 2015 and 2017.
Artif. Intell., 2019

Transfer Learning for Performance Modeling of Deep Neural Network Systems.
Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Hands-On Session with ASlib.
Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval co-located with the 41st European Conference on Information Retrieval (ECIR 2019), 2019

Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR).
Proceedings of the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval co-located with the 41st European Conference on Information Retrieval (ECIR 2019), 2019

Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR).
Proceedings of the Advances in Information Retrieval, 2019

Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA.
Proceedings of the Automated Machine Learning - Methods, Systems, Challenges, 2019

2018
Leveraging TSP Solver Complementarity through Machine Learning.
Evolutionary Computation, 2018

A Regression-Based Methodology for Online Algorithm Selection.
Proceedings of the Eleventh International Symposium on Combinatorial Search, 2018

Quantifying Algorithmic Improvements over Time.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Containerisation and Dynamic Frameworks in ICCMA'19.
Proceedings of the Second International Workshop on Systems and Algorithms for Formal Argumentation (SAFA 2018) co-located with the 7th International Conference on Computational Models of Argument (COMMA 2018), 2018

2017
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA.
J. Mach. Learn. Res., 2017

The Inductive Constraint Programming Loop.
IEEE Intelligent Systems, 2017

The ICON Challenge on Algorithm Selection.
AI Magazine, 2017

Open Algorithm Selection Challenge 2017: Setup and Scenarios.
Proceedings of the Open Algorithm Selection Challenge 2017, 2017

2016
ICON Loop Carpooling Show Case.
Proceedings of the Data Mining and Constraint Programming, 2016

Algorithm Selection for Combinatorial Search Problems: A Survey.
Proceedings of the Data Mining and Constraint Programming, 2016

The Inductive Constraint Programming Loop.
Proceedings of the Data Mining and Constraint Programming, 2016

ICON Loop Health Show Case.
Proceedings of the Data Mining and Constraint Programming, 2016

Advanced Portfolio Techniques.
Proceedings of the Data Mining and Constraint Programming, 2016

mlr: Machine Learning in R.
J. Mach. Learn. Res., 2016

ASlib: A benchmark library for algorithm selection.
Artif. Intell., 2016

Portfolios of Subgraph Isomorphism Algorithms.
Proceedings of the Learning and Intelligent Optimization - 10th International Conference, 2016

Reinforcement Learning for Automatic Online Algorithm Selection - an Empirical Study.
Proceedings of the 16th ITAT Conference Information Technologies, 2016

Using the Shapley Value to Analyze Algorithm Portfolios.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
On Algorithm Selection, with an application to combinatorial search problems.
Constraints, 2015

Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection.
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015

Find Your Way Back: Mobility Profile Mining with Constraints.
Proceedings of the Principles and Practice of Constraint Programming, 2015

2014
Reliability of computational experiments on virtualised hardware.
J. Exp. Theor. Artif. Intell., 2014

Qualitative modelling via constraint programming.
Constraints, 2014

Algorithm Selection for Combinatorial Search Problems: A Survey.
AI Magazine, 2014

Recomputation.org: Experiences of Its First Year and Lessons Learned.
Proceedings of the 7th IEEE/ACM International Conference on Utility and Cloud Computing, 2014

Ranking Algorithms by Performance.
Proceedings of the Learning and Intelligent Optimization, 2014

Algorithm Configuration in the Cloud: A Feasibility Study.
Proceedings of the Learning and Intelligent Optimization, 2014

Integrating Optimisation And Agent-Based Modelling.
Proceedings of the 28th European Conference on Modelling and Simulation, 2014

Towards an Algorithm Selection Standard: Data Format and Tools.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Web-Scale Distributed eScience AI Search across Disconnected and Heterogeneous Infrastructures.
Proceedings of the 10th IEEE International Conference on e-Science, 2014

Proteus: A Hierarchical Portfolio of Solvers and Transformations.
Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2014

Discriminating Instance Generation for Automated Constraint Model Selection.
Proceedings of the Principles and Practice of Constraint Programming, 2014

2013
The AAAI-13 Conference Workshops.
AI Magazine, 2013

Lazy Branching for Constraint Satisfaction.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

Automated Symmetry Breaking and Model Selection in Conjure.
Proceedings of the Principles and Practice of Constraint Programming, 2013

2012
On algorithm selection, with an application to combinatorial search problems.
PhD thesis, 2012

An evaluation of machine learning in algorithm selection for search problems.
AI Commun., 2012

An automated approach to generating efficient constraint solvers.
Proceedings of the 34th International Conference on Software Engineering, 2012

Hybrid Regression-Classification Models for Algorithm Selection.
Proceedings of the ECAI 2012, 2012

The Semigroups of Order 10.
Proceedings of the Principles and Practice of Constraint Programming, 2012

2011
Exact Closest String as a Constraint Satisfaction Problem.
Proceedings of the International Conference on Computational Science, 2011

Dominion: An Architecture-Driven Approach to Generating Efficient Constraint Solvers.
Proceedings of the 9th Working IEEE/IFIP Conference on Software Architecture, 2011

A Preliminary Evaluation of Machine Learning in Algorithm Selection for Search Problems.
Proceedings of the Fourth Annual Symposium on Combinatorial Search, 2011

Reliability of Computational Experiments on Virtualised Hardware.
Proceedings of the AI for Data Center Management and Cloud Computing, 2011

2010
Learning When to Use Lazy Learning in Constraint Solving.
Proceedings of the ECAI 2010, 2010

Ensemble Classification for Constraint Solver Configuration.
Proceedings of the Principles and Practice of Constraint Programming - CP 2010, 2010


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