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Marius Lindauer

24 papers · 2017–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (4)
🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (5) πŸ—ΊοΈ Taxonomy Completionist (33) πŸ† Grand Slam 🀝 Dynamic Duo (14) πŸ”¬ Deep Specialist (15) πŸ—ƒοΈ Keyword Collector (71) πŸ’Ž Century Club (23) πŸ”₯ Unstoppable (9) ⚑ Prolific Year (6)

Conferences

AUTOML (6) ICML (4) IJCAI (4) JMLR (4) NIPS (3) AAAI (2) ICLR (1)

Papers

HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization AAAI 2026 DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning JMLR 2025 Revisiting Learning Rate Control AUTOML 2025 Auto-nnU-Net: Towards Automated Medical Image Segmentation AUTOML 2025 Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning AAAI 2024 Position: A Call to Action for a Human-Centered AutoML Paradigm ICML 2024 Learning Activation Functions for Sparse Neural Networks AUTOML 2023 Self-Adjusting Weighted Expected Improvement for Bayesian Optimization AUTOML 2023 AutoRL Hyperparameter Landscapes AUTOML 2023 PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning NIPS 2023 Symbolic Explanations for Hyperparameter Optimization AUTOML 2023 Hyperparameters in Reinforcement Learning and How To Tune Them ICML 2023 Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning JMLR 2022 $\pi$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization ICLR 2022 SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization JMLR 2022 Self-Paced Context Evaluation for Contextual Reinforcement Learning ICML 2021 Well-tuned Simple Nets Excel on Tabular Datasets NIPS 2021 TempoRL: Learning When to Act ICML 2021 Explaining Hyperparameter Optimization via Partial Dependence Plots NIPS 2021 DACBench: A Benchmark Library for Dynamic Algorithm Configuration IJCAI 2021 Best Practices for Scientific Research on Neural Architecture Search JMLR 2020 An Evolution Strategy with Progressive Episode Lengths for Playing Games IJCAI 2019 Neural Networks for Predicting Algorithm Runtime Distributions IJCAI 2018 AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract) IJCAI 2017