Marius Lindauer

1. Well-tuned Simple Nets Excel on Tabular Datasets
   2021/06/21 by Arlind Kadra, Kadra, Arlind, Marius Lindauer +5 · 1 voice · 13 citations
   Computer Science · #Advanced Neural Network Applications #Image Enhancement Techniques #Machine Learning and Data Classification #cs.LG
2. Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
   2021/07/13 by Bernd Bischl, Bischl, Bernd, Martin Binder +21 · 16 citations
   Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Metaheuristic Optimization Algorithms Research
3. HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
   2021/09/14 by Katharina Eggensperger, Philipp Müller, Eggensperger, Katharina +15 · 10 citations
   Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Metaheuristic Optimization Algorithms Research
4. PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
   2023/06/21 by Neeratyoy Mallik, Edward M. Bergman, Mallik, Neeratyoy +13 · 10 citations
   Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Data Stream Mining Techniques
5. Hyperparameters in Reinforcement Learning and How To Tune Them
   2023/06/02 by Theresa Eimer, Eimer, Theresa, Marius Lindauer +3 · 8 citations
   Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
6. Contextualize Me -- The Case for Context in Reinforcement Learning
   2022/02/09 by Carolin Benjamins, Benjamins, Carolin, Theresa Eimer +14 · 7 citations
   Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Reinforcement Learning in Robotics
7. πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
   2022/04/23 by Carl Hvarfner, Danny Stoll, Hvarfner, Carl +9 · 7 citations
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification #Advanced Bandit Algorithms Research
8. Automated Dynamic Algorithm Configuration
   2022/05/27 by Steven Adriænsen, André Biedenkapp, Adriaensen, Steven +11 · 6 citations
   Computer Science · #Metaheuristic Optimization Algorithms Research #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms
9. Explaining Hyperparameter Optimization via Partial Dependence Plots
   2021/11/08 by Julia Moosbauer, Moosbauer, Julia, Julia Herbinger +7 · 5 citations
   Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
10. AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
    2023/06/13 by Alexander Tornede, Tornede, Alexander, Difan Deng +19 · 3 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Natural Language Processing Techniques #Topic Modeling
11. Efficient Automated Deep Learning for Time Series Forecasting
    2022/05/11 by Difan Deng, Deng, Difan, Florian Karl +7 · 2 citations
    Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning and Data Classification #Stock Market Forecasting Methods
12. Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach
    2024/06/07 by Difan Deng, Deng, Difan, Marius Lindauer +1 · 3 citations
    Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Stock Market Forecasting Methods #Forecasting Techniques and Applications
13. Structure in Deep Reinforcement Learning: A Survey and Open Problems
    2024/04/21 by Aditya Mohan, Amy Zhang, Marius Lindauer · 1 voice · 2 citations
    Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications #Advanced Multi-Objective Optimization Algorithms
14. Position: A Call to Action for a Human-Centered AutoML Paradigm
    2024/06/05 by Marius Lindauer, Lindauer, Marius, Florian Karl +15 · 3 citations
    Computer Science · #Machine Learning and Data Classification
15. DeepCAVE: An Interactive Analysis Tool for Automated Machine Learning
    2022/06/07 by René Sass, Eddie Bergman, Sass, René +7 · 2 citations
    Computer Science · #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications #Adversarial Robustness in Machine Learning
16. Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
    2026/07/29 by Mingxuan Che, Tsung-Yuan Tseng, Theresa Eimer +2
    Computer Science · #cs.AI #cs.LG