Lars Kotthoff

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 41

Top Venues

University of St Andrews, UK (PHD)

Education History

University of St Andrews, UK

PHD

Publications

Geoff Sutcliffe, Christian B. Suttner, Lars Kotthoff, C. Raymond Perrault, Zain Khalid
An Empirical Assessment of Progress in Automated Theorem Proving. IJCAR (1) (2024)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi
FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint). AAAI (2024)
Haniye Kashgarani, Lars Kotthoff
Automatic Parallel Portfolio Selection. ECAI (2023)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks. J. Artif. Intell. Res. 77 (2023)
Anamaria Crisan, Lars Kotthoff, Marc Streit, Kai Xu
Human-Centered Approaches for Provenance in Automated Data Science (Dagstuhl Seminar 23372). Dagstuhl Reports 13 (9) (2023)
Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. IEEE Trans. Evol. Comput. 26 (6) (2022)
Mehdi Nourelahi, Lars Kotthoff, Peijie Chen, Anh Nguyen
How explainable are adversarially-robust CNNs? CoRR (2022)
Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger H. Hoos
Opening the Black Box: Automated Software Analysis for Algorithm Selection. AutoML (2022)
Lars Kotthoff, Sourin Dey, Jake Heil, Vivek Jain, Todd Muller, Alexander Tyrrell, Hud Wahab, Patrick Johnson
Optimizing Laser-Induced Graphene Production. PAIS@ECAI (2022)
Stefano Bistarelli, Lars Kotthoff, Francesco Santini, Carlo Taticchi
Summary Report for the Third International Competition On Computational Models of Argumentation. AI Mag. 42 (3) (2021)
Martin Binder, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, Bernd Bischl
mlr3pipelines - Flexible Machine Learning Pipelines in R. J. Mach. Learn. Res. 22 (2021)
Julia Moosbauer, Martin Binder, Lennart Schneider, Florian Pfisterer, Marc Becker, Michel Lang, Lars Kotthoff, Bernd Bischl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. CoRR (2021)
Lars Kotthoff, Sourin Dey, Vivek Jain, Alexander Tyrrell, Hud Wahab, Patrick Johnson
Modeling and Optimizing Laser-Induced Graphene. CoRR (2021)
Haniye Kashgarani, Lars Kotthoff
Is Algorithm Selection Worth It? Comparing Selecting Single Algorithms and Parallel Execution. MetaDL@AAAI (2021)
Lars Kotthoff, Hud Wahab, Patrick Johnson
Bayesian Optimization in Materials Science: A Survey. CoRR (2021)
Stefano Bistarelli, Lars Kotthoff, Francesco Santini, Carlo Taticchi
A First Overview of ICCMA'19. AI³@AI*IA (2020)
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi
FlexiBO: Cost-Aware Multi-Objective Optimization of Deep Neural Networks. CoRR (2020)
Damir Pulatov, Lars Kotthoff
Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract). AAAI (2020)
Joeran Beel, Lars Kotthoff
Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR). AMIR@ECIR (2019)
Md Shahriar Iqbal, Lars Kotthoff, Pooyan Jamshidi
Transfer Learning for Performance Modeling of Deep Neural Network Systems. OpML (2019)
Jöran Beel, Lars Kotthoff
Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR). ECIR (2) (2019)
Marius Lindauer, Jan N. van Rijn, Lars Kotthoff
The algorithm selection competitions 2015 and 2017. Artif. Intell. 272 (2019)
Lars Kotthoff
Hands-On Session with ASlib. AMIR@ECIR (2019)
Md Shahriar Iqbal, Lars Kotthoff, Pooyan Jamshidi
Transfer Learning for Performance Modeling of Deep Neural Network Systems. CoRR (2019)
Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl
mlr3: A modern object-oriented machine learning framework in R. J. Open Source Softw. 4 (44) (2019)
Pascal Kerschke, Lars Kotthoff, Jakob Bossek, Holger H. Hoos, Heike Trautmann
Leveraging TSP Solver Complementarity through Machine Learning. Evol. Comput. 26 (4) (2018)
Hans Degroote, Patrick De Causmaecker, Bernd Bischl, Lars Kotthoff
A Regression-Based Methodology for Online Algorithm Selection. SOCS (2018)
Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
Quantifying Algorithmic Improvements over Time. IJCAI (2018)
Marius Lindauer, Jan N. van Rijn, Lars Kotthoff
The Algorithm Selection Competition Series 2015-17. CoRR (2018)
Stefano Bistarelli, Lars Kotthoff, Francesco Santini, Carlo Taticchi
Containerisation and Dynamic Frameworks in ICCMA'19. SAFA@COMMA (2018)
Lars Kotthoff, Barry Hurley, Barry O'Sullivan
The ICON Challenge on Algorithm Selection. AI Mag. 38 (2) (2017)
Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
The Inductive Constraint Programming Loop. IEEE Intell. Syst. 32 (5) (2017)
Chris Fawcett, Lars Kotthoff, Holger H. Hoos
Hot-Rodding the Browser Engine: Automatic Configuration of JavaScript Compilers. CoRR (2017)
Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown
Auto-WEKA 2.0: Automatic model selection and hyperparameter optimization in WEKA. J. Mach. Learn. Res. 18 (2017)
Marius Lindauer, Jan N. van Rijn, Lars Kotthoff
Open Algorithm Selection Challenge 2017: Setup and Scenarios. OASC (2017)
Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown
Using the Shapley Value to Analyze Algorithm Portfolios. AAAI (2016)
Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
ASlib: A benchmark library for algorithm selection. Artif. Intell. 237 (2016)
Julia Schiffner, Bernd Bischl, Michel Lang, Jakob Richter, Zachary M. Jones, Philipp Probst, Florian Pfisterer, Mason Gallo, Dominik Kirchhoff, Tobias Kühn, Janek Thomas, Lars Kotthoff
mlr Tutorial. CoRR (2016)
Lars Kotthoff, Ciaran McCreesh, Christine Solnon
Portfolios of Subgraph Isomorphism Algorithms. LION (2016)
Hans Degroote, Bernd Bischl, Lars Kotthoff, Patrick De Causmaecker
Reinforcement Learning for Automatic Online Algorithm Selection - an Empirical Study. ITAT (2016)
Bernd Bischl, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio, Zachary M. Jones
mlr: Machine Learning in R. J. Mach. Learn. Res. 17 (2016)
Lars Kotthoff, Pascal Kerschke, Holger H. Hoos, Heike Trautmann
Improving the State of the Art in Inexact TSP Solving Using Per-Instance Algorithm Selection. LION (2015)
Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren
ASlib: A Benchmark Library for Algorithm Selection. CoRR (2015)
Neil P. Chue Hong, Tom Crick, Ian P. Gent, Lars Kotthoff, Kenji Takeda
Top Tips to Make Your Research Irreproducible. CoRR (2015)
Lars Kotthoff, Mirco Nanni, Riccardo Guidotti, Barry O'Sullivan
Find Your Way Back: Mobility Profile Mining with Constraints. CP (2015)
Christian Bessiere, Luc De Raedt, Tias Guns, Lars Kotthoff, Mirco Nanni, Siegfried Nijssen, Barry O'Sullivan, Anastasia Paparrizou, Dino Pedreschi, Helmut Simonis
The Inductive Constraint Programming Loop. CoRR (2015)
Lars Kotthoff
On Algorithm Selection, with an application to combinatorial search problems. Constraints An Int. J. 20 (4) (2015)
Lars Kotthoff
ICON Challenge on Algorithm Selection. CoRR (2015)
Lars Kotthoff
Algorithm Selection for Combinatorial Search Problems: A Survey. AI Mag. 35 (3) (2014)
Thomas W. Kelsey, Lars Kotthoff, Christopher Jefferson, Stephen A. Linton, Ian Miguel, Peter Nightingale, Ian P. Gent
Qualitative modelling via constraint programming. Constraints An Int. J. 19 (2) (2014)
Lars Kotthoff
Towards an Algorithm Selection Standard: Data Format and Tools. MetaSel@ECAI (2014)
Lars Kotthoff
Ranking Algorithms by Performance. LION (2014)
Peter George Johnson, Tina Balke, Lars Kotthoff
Integrating Optimisation And Agent-Based Modelling. ECMS (2014)
Tom Kelsey, Martin McCaffery, Lars Kotthoff
Web-Scale Distributed eScience AI Search across Disconnected and Heterogeneous Infrastructures. eScience (2014)
Barry Hurley, Lars Kotthoff, Yuri Malitsky, Barry O'Sullivan
Proteus: A Hierarchical Portfolio of Solvers and Transformations. CPAIOR (2014)
Ian P. Gent, Bilal Syed Hussain, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Glenna F. Nightingale, Peter Nightingale
Discriminating Instance Generation for Automated Constraint Model Selection. CP (2014)
Daniel Geschwender, Frank Hutter, Lars Kotthoff, Yuri Malitsky, Holger H. Hoos, Kevin Leyton-Brown
Algorithm Configuration in the Cloud: A Feasibility Study. LION (2014)
Sylwester Arabas, Michael R. Bareford, Ian P. Gent, Benjamin M. Gorman, Masih Hajiarabderkani, Tristan Henderson, Luke Hutton, Alexander Konovalov, Lars Kotthoff, Ciaran McCreesh, Ruma R. Paul, Karen E. Petrie, Abdul Razaq, Daniël Reijsbergen
An Open and Reproducible Paper on Openness and Reproducibility of Papers in Computational Science. CoRR (2014)
Lars Kotthoff
Reliability of computational experiments on virtualised hardware. J. Exp. Theor. Artif. Intell. 26 (1) (2014)
Ian P. Gent, Lars Kotthoff
Recomputation.org: Experiences of Its First Year and Lessons Learned. UCC (2014)
Lars Kotthoff
LLAMA: Leveraging Learning to Automatically Manage Algorithms. CoRR (2013)
Barry Hurley, Lars Kotthoff, Yuri Malitsky, Barry O'Sullivan
Proteus: A Hierarchical Portfolio of Solvers and Transformations. CoRR (2013)
Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Hai Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar
The AAAI-13 Conference Workshops. AI Mag. 34 (4) (2013)
Deepak Mehta, Barry O'Sullivan, Lars Kotthoff, Yuri Malitsky
Lazy Branching for Constraint Satisfaction. ICTAI (2013)
Ozgur Akgun, Alan M. Frisch, Ian P. Gent, Bilal Syed Hussain, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Peter Nightingale
Automated Symmetry Breaking and Model Selection in Conjure. CP (2013)
Lars Kotthoff
Ranking Algorithms by Performance. CoRR (2013)
Lars Kotthoff
Hybrid Regression-Classification Models for Algorithm Selection. ECAI (2012)
Lars Kotthoff, Tom Kelsey, Martin McCaffery
A framework for large-scale distributed AI search across disconnected heterogeneous infrastructures CoRR (2012)
Lars Kotthoff
Algorithm Selection for Combinatorial Search Problems: A Survey CoRR (2012)
Dharini Balasubramaniam, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Peter Nightingale
An automated approach to generating efficient constraint solvers. ICSE (2012)
Thomas W. Kelsey, Lars Kotthoff, Christopher Jefferson, Stephen A. Linton, Ian Miguel, Peter Nightingale, Ian P. Gent
Qualitative Modelling via Constraint Programming: Past, Present and Future CoRR (2012)
Lars Kotthoff, Ian P. Gent, Ian Miguel
An evaluation of machine learning in algorithm selection for search problems. AI Commun. 25 (3) (2012)
Andreas Distler, Christopher Jefferson, Tom Kelsey, Lars Kotthoff
The Semigroups of Order 10. CP (2012)
Ian P. Gent, Lars Kotthoff
Reliability of Computational Experiments on Virtualised Hardware CoRR (2011)
Lars Kotthoff, Ian P. Gent, Ian Miguel
A Preliminary Evaluation of Machine Learning in Algorithm Selection for Search Problems. SOCS (2011)
Ian P. Gent, Lars Kotthoff
Reliability of Computational Experiments on Virtualised Hardware. AI for Data Center Management and Cloud Computing (2011)
Dharini Balasubramaniam, Lakshitha de Silva, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Peter Nightingale
Dominion: An Architecture-Driven Approach to Generating Efficient Constraint Solvers. WICSA (2011)
Tom Kelsey, Lars Kotthoff
Exact Closest String as a Constraint Satisfaction Problem. ICCS (2011)
Ian P. Gent, Christopher Jefferson, Lars Kotthoff, Ian Miguel
Modelling Constraint Solver Architecture Design as a Constraint Problem CoRR (2011)
Lars Kotthoff, Neil C. A. Moore
Distributed solving through model splitting CoRR (2010)
Lars Kotthoff, Ian Miguel, Peter Nightingale
Ensemble Classification for Constraint Solver Configuration. CP (2010)
Lars Kotthoff, Ian P. Gent, Ian Miguel
Using machine learning to make constraint solver implementation decisions CoRR (2010)
Ian P. Gent, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Neil C. A. Moore, Peter Nightingale, Karen E. Petrie
Learning When to Use Lazy Learning in Constraint Solving. ECAI (2010)
Ian P. Gent, Lars Kotthoff, Ian Miguel, Peter Nightingale
Machine learning for constraint solver design -- A case study for the alldifferent constraint CoRR (2010)
Tom Kelsey, Lars Kotthoff
The Exact Closest String Problem as a Constraint Satisfaction Problem CoRR (2010)
Lars Kotthoff
Constraint solvers: An empirical evaluation of design decisions CoRR (2010)
Lars Kotthoff
Dominion -- A constraint solver generator CoRR (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lars Kotthoff