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Marius Lindauer

Neural Attention Search

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Feb 20, 2025
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HyperSHAP: Shapley Values and Interactions for Hyperparameter Importance

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Feb 03, 2025
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ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning

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Sep 27, 2024
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Instance Selection for Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization

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Jul 18, 2024
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Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach

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Jun 07, 2024
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Position: A Call to Action for a Human-Centered AutoML Paradigm

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Jun 05, 2024
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Hyperparameter Importance Analysis for Multi-Objective AutoML

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May 15, 2024
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Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

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Apr 04, 2024
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auto-sktime: Automated Time Series Forecasting

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Dec 19, 2023
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Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

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Sep 13, 2023
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