Kotthoff, Lars

9 publications

AAAI 2024 FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks (Abstract Reprint) Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi

JAIR 2023 FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff, Pooyan Jamshidi

AutoML 2022 Opening the Black Box: Automated Software Analysis for Algorithm Selection Damir Pulatov, Marie Anastacio, Lars Kotthoff, Holger Hoos

MLOSS 2021 Mlr3pipelines - Flexible Machine Learning Pipelines in R Martin Binder, Florian Pfisterer, Michel Lang, Lennart Schneider, Lars Kotthoff, Bernd Bischl

AAAI 2020 Opening the Black Box: Automatically Characterizing Software for Algorithm Selection (Student Abstract) Damir Pulatov, Lars Kotthoff

IJCAI 2018 Quantifying Algorithmic Improvements over Time Lars Kotthoff, Alexandre Fréchette, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown

MLOSS 2017 Auto-WEKA 2.0: Automatic Model Selection and Hyperparameter Optimization in WEKA Lars Kotthoff, Chris Thornton, Holger H. Hoos, Frank Hutter, Kevin Leyton-Brown

JMLR 2016 Mlr: Machine Learning in R Bernd Bischl, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio, Zachary M. Jones

AAAI 2016 Using the Shapley Value to Analyze Algorithm Portfolios Alexandre Fréchette, Lars Kotthoff, Tomasz P. Michalak, Talal Rahwan, Holger H. Hoos, Kevin Leyton-Brown