Today we're speaking with Marius Lindauer and it is certainly one of my favorite episodes!

As you’ll hear, Marius is full of ideas for where AutoML systems can and should go. These ideas are crystallized in a blog-post, published here: https://www.automl.org/rethinking-automl-advancing-from-a-machine-centered-to-human-centered-paradigm/

If you’re searching for research directions, this conversation left me with dozens of ideas. Marius and his team are doing phenomenal work to make AutoML systems more trustworthy and more human-centric.

We will be reviewing content from the following papers:

• Bayesian Optimization with a Prior for the Optimum - https://arxiv.org/abs/2006.14608
• Explaining Hyperparameter Optimization via Partial Dependence Plots - https://arxiv.org/abs/2111.04820
• Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution - https://arxiv.org/abs/2206.05447
• πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization - https://arxiv.org/abs/2204.11051

Follow Marius on Twitter here - https://twitter.com/LindauerMarius, and AutoML.org on Twitter here - https://twitter.com/AutoML_org.

To help Marius complete the survey he mentioned, please visit the link here - https://www.soscisurvey.de/hpo-method-validation/.

To learn more about AutoML, visit AutoML.org, here - https://www.automl.org/