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Lindauer, Marius

  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, Martin Binder, Bischl, Bernd +21 · 19 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. Contextualize Me -- The Case for Context in Reinforcement Learning
    2022/02/09 by Carolin Benjamins, Benjamins, Carolin, Theresa Eimer +14 · 9 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
  5. πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
    2022/04/23 by Carl Hvarfner, Danny Stoll, Hvarfner, Carl +9 · 9 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification #Advanced Bandit Algorithms Research
  6. Automated Dynamic Algorithm Configuration
    2022/05/27 by Steven Adriænsen, Adriaensen, Steven, André Biedenkapp +11 · 8 citations
    Computer Science · #Metaheuristic Optimization Algorithms Research #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms
  7. PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
    2023/06/21 by Neeratyoy Mallik, Mallik, Neeratyoy, Edward M. Bergman +13 · 10 citations
    Computer Science · #Machine Learning and Data Classification #Advanced Multi-Objective Optimization Algorithms #Data Stream Mining Techniques
  8. 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
  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. Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
    2020/06/24 by Lucas Zimmer, Marius Lindauer, Zimmer, Lucas +3 · 4 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  11. AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks
    2023/06/13 by Alexander Tornede, Difan Deng, Tornede, Alexander +19 · 4 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
  12. ASlib: A Benchmark Library for Algorithm Selection
    2015/06/08 by Bischl, Bernd, Kerschke, Pascal, Kotthoff, Lars +8 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. Learning Heuristic Selection with Dynamic Algorithm Configuration
    2020/06/15 by Speck, David, Biedenkapp, André, Hutter, Frank +2 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  14. TempoRL: Learning When to Act
    2021/06/09 by Biedenkapp, André, Rajan, Raghu, Hutter, Frank +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. 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
  16. Best Practices for Scientific Research on Neural Architecture Search
    2019/09/05 by Lindauer, Marius, Hutter, Frank · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. 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
  18. AutoRL Hyperparameter Landscapes
    2023/04/05 by Aditya Mohan, Mohan, Aditya, Carolin Benjamins +7 · 2 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning and Data Classification #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
  19. claspfolio 2: Advances in Algorithm Selection for Answer Set Programming
    2014/05/07 by Holger H. Hoos, Hoos, Holger, Marius Lindauer +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Multi-Agent Systems and Negotiation
  20. Warmstarting of Model-based Algorithm Configuration
    2017/09/14 by Lindauer, Marius, Hutter, Frank · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  21. 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
  22. 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
  23. Bayesian Optimization with a Prior for the Optimum
    2020/06/25 by Souza, Artur, Nardi, Luigi, Oliveira, Leonardo B. +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
    2025/02/03 by Wever, Marcel, Muschalik, Maximilian, Fumagalli, Fabian +1 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization
    2021/05/03 by Guerrero-Viu, Julia, Hauns, Sven, Izquierdo, Sergio +7 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. Practitioner Motives to Use Different Hyperparameter Optimization Methods
    2022/03/03 by Niclas Kannengießer, Kannengießer, Niclas, Niklas Hasebrook +11 · 1 citation
    Computer Science · Economics, Econometrics and Finance · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Sports Analytics and Performance
  27. AutoML in Heavily Constrained Applications
    2023/06/29 by Neutatz, Felix, Lindauer, Marius, Abedjan, Ziawasch · 1 citation
    #Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
    2023/09/07 by Giovanelli, Joseph, Tornede, Alexander, Tornede, Tanja +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. auto-sktime: Automated Time Series Forecasting
    2023/12/13 by Zöller, Marc-André, Lindauer, Marius, Huber, Marco F. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. Pitfalls and Best Practices in Algorithm Configuration
    2017/05/17 by Eggensperger, Katharina, Lindauer, Marius, Hutter, Frank · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
  31. carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks
    2025/06/06 by Benjamins, Carolin, Graf, Helena, Segel, Sarah +14 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)