Lars Kotthoff

Orcid: 0000-0003-4635-6873

Affiliations:
  • University of Wyoming, WY, USA


According to our database1, Lars Kotthoff authored at least 85 papers between 2010 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks.
J. Artif. Intell. Res., 2023

Human-Centered Approaches for Provenance in Automated Data Science (Dagstuhl Seminar 23372).
Dagstuhl Reports, 2023

Automatic Parallel Portfolio Selection.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.
IEEE Trans. Evol. Comput., 2022

How explainable are adversarially-robust CNNs?
CoRR, 2022

Optimizing Laser-Induced Graphene Production.
Proceedings of the PAIS 2022, 2022

Opening the Black Box: Automated Software Analysis for Algorithm Selection.
Proceedings of the International Conference on Automated Machine Learning, 2022

2021
mlr3pipelines - Flexible Machine Learning Pipelines in R.
J. Mach. Learn. Res., 2021

Bayesian Optimization in Materials Science: A Survey.
CoRR, 2021

Modeling and Optimizing Laser-Induced Graphene.
CoRR, 2021

Summary Report for the Third International Competition On Computational Models of Argumentation.
AI Mag., 2021

Is Algorithm Selection Worth It? Comparing Selecting Single Algorithms and Parallel Execution.
Proceedings of the AAAI Workshop on Meta-Learning and MetaDL Challenge, 2021

2020
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks.
CoRR, 2020

A First Overview of ICCMA'19.
Proceedings of the Workshop on Advances In Argumentation In Artificial Intelligence 2020 co-located with the 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020), 2020

Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
mlr3: A modern object-oriented machine learning framework in R.
J. Open Source Softw., 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.
Evol. Comput., 2018

The Algorithm Selection Competition Series 2015-17.
CoRR, 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 Intell. Syst., 2017

Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers.
CoRR, 2017

The ICON Challenge on Algorithm Selection.
AI Mag., 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

mlr Tutorial.
CoRR, 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
ICON Challenge on Algorithm Selection.
CoRR, 2015

Top Tips to Make Your Research Irreproducible.
CoRR, 2015

On Algorithm Selection, with an application to combinatorial search problems.
Constraints An Int. J., 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

An Open and Reproducible Paper on Openness and Reproducibility of Papers in Computational Science.
CoRR, 2014

Qualitative modelling via constraint programming.
Constraints An Int. J., 2014

Algorithm Selection for Combinatorial Search Problems: A Survey.
AI Mag., 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
LLAMA: Leveraging Learning to Automatically Manage Algorithms.
CoRR, 2013

The AAAI-13 Conference Workshops.
AI Mag., 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

Qualitative Modelling via Constraint Programming: Past, Present and Future
CoRR, 2012

A framework for large-scale distributed AI search across disconnected heterogeneous infrastructures
CoRR, 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

Modelling Constraint Solver Architecture Design as a Constraint Problem
CoRR, 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
Distributed solving through model splitting
CoRR, 2010

Machine learning for constraint solver design -- A case study for the alldifferent constraint
CoRR, 2010

Using machine learning to make constraint solver implementation decisions
CoRR, 2010

The Exact Closest String Problem as a Constraint Satisfaction Problem
CoRR, 2010

Dominion -- A constraint solver generator
CoRR, 2010

Constraint solvers: An empirical evaluation of design decisions
CoRR, 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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