Marius Lindauer
Leibniz Universität Hannover
H-index: 34
Europe-Germany
Top articles of Marius Lindauer
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Synergizing Theory and Practice of Automated Algorithm Design for Optimization (Dagstuhl Seminar 23332) | Diederick Vermetten Martin S Krejca Marius Lindauer Manuel López-Ibáñez Katherine M Malan | 2024 | |
Structure in Deep Reinforcement Learning: A Survey and Open Problems | Journal of Artificial Intelligence Research | Aditya Mohan Amy Zhang Marius Lindauer | 2024/4/21 |
Towards Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks | arXiv preprint arXiv:2404.01965 | Leona Hennig Tanja Tornede Marius Lindauer | 2024/4/2 |
Interactive hyperparameter optimization in multi-objective problems via preference learning | Proceedings of the AAAI Conference on Artificial Intelligence | Joseph Giovanelli Alexander Tornede Tanja Tornede Marius Lindauer | 2024/3/24 |
Priorband: Practical hyperparameter optimization in the age of deep learning | Advances in Neural Information Processing Systems | Neeratyoy Mallik Edward Bergman Carl Hvarfner Danny Stoll Maciej Janowski | 2024/2/13 |
AutoRL Hyperparameter Landscapes | Aditya Mohan Carolin Benjamins Konrad Wienecke Alexander Dockhorn Marius Lindauer | 2023 | |
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges | Bernd Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter | 2023/3 | |
A Patterns Framework for Incorporating Structure in Deep Reinforcement Learning | Aditya Mohan Amy Zhang Marius Lindauer | 2023/7/20 | |
auto-sktime: Automated Time Series Forecasting | arXiv preprint arXiv:2312.08528 | Marc-André Zöller Marius Lindauer Marco F Huber | 2023/12/13 |
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization | Carolin Benjamins Elena Raponi Anja Jankovic Carola Doerr Marius Lindauer | 2023 | |
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning | Transactions on Machine Learning Research, TMLR | Frederik Schubert Carolin Benjamins Sebastian Döhler Bodo Rosenhahn Marius Lindauer | 2023/4 |
Towards Self-Adjusting Weighted Expected Improvement for Bayesian Optimization | Carolin Benjamins Elena Raponi Anja Jankovic Carola Doerr Marius Lindauer | 2023/7/15 | |
AutoML in heavily constrained applications | The VLDB Journal | Felix Neutatz Marius Lindauer Ziawasch Abedjan | 2023/11/17 |
Contextualize Me--The Case for Context in Reinforcement Learning | arXiv preprint arXiv:2202.04500 | Carolin Benjamins Theresa Eimer Frederik Schubert Aditya Mohan André Biedenkapp | 2022/2/9 |
Hyperparameters in Reinforcement Learning and How To Tune Them | Theresa Eimer Marius Lindauer Roberta Raileanu | 2023 | |
Application of machine learning for fleet-based condition monitoring of ball screw drives in machine tools | The International Journal of Advanced Manufacturing Technology | Berend Denkena Marc-André Dittrich Hendrik Noske Dirk Lange Carolin Benjamins | 2023/7 |
AutoML: advanced tool for mining multivariate plant traits | Mirza Shoaib Neelesh Sharma Lars Kotthoff Marius Lindauer Surya Kant | 2023/10/4 | |
Learning Activation Functions for Sparse Neural Networks | Mohammad Loni Aditya Mohan Mehdi Asadi Marius Lindauer | 2023/12/2 | |
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks | arXiv preprint arXiv:2306.08107 | Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan | 2023/6/13 |
Automated Machine Learning for Remaining Useful Life Predictions | Marc-André Zöller Fabian Mauthe Peter Zeiler Marius Lindauer Marco F Huber | 2023/10/1 |
Co-Authors
