AutoML 2023 Journal Track Submissions

Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks
Zhen Xu, quanming yao, Yong Li, Qiang Yang
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
Learning to Optimize: A Primer and A Benchmark
Tianlong Chen, Xiaohan Chen, Wuyang Chen, Howard Heaton, Jialin Liu, Zhangyang Wang, Wotao Yin
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
Towards Green Automated Machine Learning: Status Quo and Future Directions
Tanja Tornede, Alexander Tornede, Jonas Hanselle, Felix Mohr, Marcel Wever, Eyke Hüllermeier
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
Fast and Informative Model Selection using Learning Curve Cross-Validation
Felix Mohr, Jan N. van Rijn
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
MASIF: Meta-learned Algorithm Selection using Implicit Fidelity Information
Tim Ruhkopf, Aditya Mohan, Difan Deng, Alexander Tornede, Frank Hutter, Marius Lindauer
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
JsonGrinder.jl: automated differentiable neural architecture for embedding arbitrary JSON data
Šimon Mandlík, Matěj Račinský, Viliam Lisý, Tomáš Pevný
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems
Raghu Rajan, Jack Parker-Holder, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and Molecular Data Analysis Workflows
Alina Selega, Kieran R. Campbell
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim Ruhkopf, Rene Sass, Frank Hutter
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone
Structural Learning in Artificial Neural Networks: A Neural Operator Perspective
Kaitlin Maile, Luga Hervé, Dennis George Wilson
- Published: 15 Aug 2023, Last Modified: 15 Aug 2023
- AutoML 2023 (Journal Track)
- Readers: Everyone