Difan Deng

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Marius LindauerLeibniz University Hannover (Germany), Institute of Artificial Intelligence LUH|AI, L3S ResearchVerified email at ai.uni-hannover.de
Frank HutterELLIS Institute & Professor, University of Freiburg, GermanyVerified email at cs.uni-freiburg.de
André BiedenkappUniversity of FreiburgVerified email at cs.uni-freiburg.de
Tim RuhkopfPhD Candidate, Leibniz University HannoverVerified email at ai.uni-hannover.de
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
Katharina EggenspergerEarly Career Group Leader "AutoML for Science" | University of TübingenVerified email at uni-tuebingen.de
Matthias FeurerLMU MunichVerified email at stat.uni-muenchen.de
C. BenjaminsVerified email at tnt.uni-hannover.de
Aditya MohanPhD Researcher at Leibniz Universität HannoverVerified email at ai.uni-hannover.de
Alexander TornedeBeckhoff AutomationVerified email at beckhoff.com
Florian KarlPh.D. student, Ludwig-Maximilians-Universität München and Fraunhofer IISVerified email at campus.lmu.de

Difan Deng

Leibniz Universität Hannover

Verified email at tnt.uni-hannover.de

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Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023	425	2023
SMAC3: A versatile Bayesian optimization package for hyperparameter optimization M Lindauer, K Eggensperger, M Feurer, A Biedenkapp, D Deng, ... Journal of Machine Learning Research 23 (54), 1-9, 2022	338	2022
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks A Tornede, D Deng, T Eimer, J Giovanelli, A Mohan, T Ruhkopf, S Segel, ... arXiv preprint arXiv:2306.08107, 2023	26	2023
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization J Guerrero-Viu, S Hauns, S Izquierdo, G Miotto, S Schrodi, A Biedenkapp, ... arXiv preprint arXiv:2105.01015, 2021	16	2021
Efficient automated deep learning for time series forecasting D Deng, F Karl, F Hutter, B Bischl, M Lindauer Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022	15	2022
Bag of Baselines for Multi-objective Joint Neural Architecture Search and Hyperparameter Optimization S Izquierdo, J Guerrero-Viu, S Hauns, G Miotto, S Schrodi, A Biedenkapp, ... 8th ICML Workshop on Automated Machine Learning (AutoML), 2021	14	2021
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information T Ruhkopf, A Mohan, D Deng, A Tornede, F Hutter, M Lindauer Transactions on Machine Learning Research, 2022	12	2022
Hyperparameter optimization: Foundations, algorithms, best practices and open challenges. arXiv B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ... arXiv preprint arXiv:2107.05847, 2021	9	2021
Literature on neural architecture search D Deng, M Lindauer	9	2016
Squirrel: A Switching Hyperparameter Optimizer N Awad, G Shala, D Deng, N Mallik, M Feurer, K Eggensperger, ... arXiv preprint arXiv:2012.08180, 2020	5	2020
Searching in the Forest for Local Bayesian Optimization D Deng, M Lindauer ECMLPKDD Workshop on Meta-Knowledge Transfer, 38-50, 2022	2	2022
Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach D Deng, M Lindauer arXiv preprint arXiv:2406.05088, 2024		2024

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