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, Carola Doerr, Tome Eftimov
  • Towards Zero-Cost Proxies for Performance Prediction beyond CIFAR-10
    Gabriela Kadlecová, Jovita Lukasik