ML Reading Group

Each week, we meet to discuss recent research papers in machine learning, AutoML, reinforcement learning, interpretable machine learning, fairness in AI, and related topics. We will announce the paper of the week a few days beforehand. A participant is responsible for moderating the meeting by reading through the paper, highlighting its essential aspects, and starting discussions on important aspects of the paper. Please note that there is no presentation and attending the reading group only makes sense if one has read the paper before the meeting. Master students are welcome to join our reading group. If you are interested in attending the reading group, please reach out to Difan Deng or Tim Ruhkopf.

• AutoML
• Reinforcement Learning
• Machine Learning