Industry Tutorials
- AutoGluon: Towards No-code Automated Machine Learning
Caner Türkmen, Oleksandr Shchur, Nick Erickson - Automated Machine Learning & Tuning with FLAML in Microsoft Fabric
Li Jiang, Jeff Zheng, Markus Weimer
Main Conference Tutorials
- Beyond Trial & Error: A Tutorial on Automated Reinforcement Learning
Theresa Eimer, André Biedenkapp - Recent Advances in Meta-features for Automated Single-Objective Black-Box Optimization
Gjorgjina Cenikj, Ana Nikolikj, Tome Eftimov - Towards Zero-Cost Proxies for Performance Prediction beyond CIFAR-10
Gabriela Kadlecová, Jovita Lukasik - Manual and automatic preprocessing tables for machine learning, with scikit-learn and skrub
Gaël Varoquaux