| 2026 | CP | On the Effect of Training Data Selection in Automated Algorithm Selection. | Erdem Kus, zgr Akgn, Nguyen Dang, Lars Kotthoff, Ian Miguel |
| 2025 | GECCO | Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms. | Niki van Stein, Anna V. Kononova, Lars Kotthoff, Thomas Bck |
| 2024 | AAAI | FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint). | Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi |
| 2024 | IJCAR | An Empirical Assessment of Progress in Automated Theorem Proving. | Geoff Sutcliffe, Christian B. Suttner, Lars Kotthoff, C. Raymond Perrault, Zain Khalid |
| 2023 | ECAI | Automatic Parallel Portfolio Selection. | Haniye Kashgarani, Lars Kotthoff |
| 2022 | ECAI | Optimizing Laser-Induced Graphene Production. | Lars Kotthoff, Sourin Dey, Jake Heil, Vivek Jain, Todd Muller, Alexander Tyrrell, Hud Wahab, Patrick Johnson |
| 2021 | AAAI | Is Algorithm Selection Worth It? Comparing Selecting Single Algorithms and Parallel Execution. | Haniye Kashgarani, Lars Kotthoff |
| 2020 | AAAI | Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract). | Damir Pulatov, Lars Kotthoff |
| 2019 | ECIR | Proposal for the 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR). | Jran Beel, Lars Kotthoff |
| 2019 | ECIR | Preface: The 1st Interdisciplinary Workshop on Algorithm Selection and Meta-Learning in Information Retrieval (AMIR). | Joeran Beel, Lars Kotthoff |
| 2019 | ECIR | Hands-On Session with ASlib. | Lars Kotthoff |
| 2018 | COMMA | Containerisation and Dynamic Frameworks in ICCMA'19. | Stefano Bistarelli, Lars Kotthoff, Francesco Santini, Carlo Taticchi |
| 2018 | IJCAI | Quantifying Algorithmic Improvements over Time. | Lars Kotthoff, Alexandre Frchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown |
| 2018 | SoCS | A Regression-Based Methodology for Online Algorithm Selection. | Hans Degroote, Patrick De Causmaecker, Bernd Bischl, Lars Kotthoff |
| 2016 | AAAI | Using the Shapley Value to Analyze Algorithm Portfolios. | Alexandre Frchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown |
| 2015 | CP | Find Your Way Back: Mobility Profile Mining with Constraints. | Lars Kotthoff, Mirco Nanni, Riccardo Guidotti, Barry O'Sullivan |
| 2014 | CP | Discriminating Instance Generation for Automated Constraint Model Selection. | Ian P. Gent, Bilal Syed Hussain, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Glenna F. Nightingale, Peter Nightingale |
| 2014 | CPAIOR | Proteus: A Hierarchical Portfolio of Solvers and Transformations. | Barry Hurley, Lars Kotthoff, Yuri Malitsky, Barry O'Sullivan |
| 2014 | ECAI | Towards an Algorithm Selection Standard: Data Format and Tools. | Lars Kotthoff |
| 2014 | ECMS | Integrating Optimisation And Agent-Based Modelling. | Peter George Johnson, Tina Balke, Lars Kotthoff |
| 2014 | UCC | Recomputation.org: Experiences of Its First Year and Lessons Learned. | Ian P. Gent, Lars Kotthoff |
| 2013 | CP | Automated Symmetry Breaking and Model Selection in Conjure. | Ozgur Akgun, Alan M. Frisch, Ian P. Gent, Bilal Syed Hussain, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Peter Nightingale |
| 2013 | ICTAI | Lazy Branching for Constraint Satisfaction. | Deepak Mehta, Barry O'Sullivan, Lars Kotthoff, Yuri Malitsky |
| 2012 | CP | The Semigroups of Order 10. | Andreas Distler, Christopher Jefferson, Tom W. Kelsey, Lars Kotthoff |
| 2012 | ECAI | Hybrid Regression-Classification Models for Algorithm Selection. | Lars Kotthoff |
| 2012 | ICSE | An automated approach to generating efficient constraint solvers. | Dharini Balasubramaniam, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Peter Nightingale |
| 2011 | AAAI | Reliability of Computational Experiments on Virtualised Hardware. | Ian P. Gent, Lars Kotthoff |
| 2011 | SoCS | A Preliminary Evaluation of Machine Learning in Algorithm Selection for Search Problems. | Lars Kotthoff, Ian P. Gent, Ian Miguel |
| 2010 | CP | Ensemble Classification for Constraint Solver Configuration. | Lars Kotthoff, Ian Miguel, Peter Nightingale |
| 2010 | ECAI | Learning When to Use Lazy Learning in Constraint Solving. | Ian P. Gent, Christopher Jefferson, Lars Kotthoff, Ian Miguel, Neil C. A. Moore, Peter Nightingale, Karen E. Petrie |