Reading Group

The Machine Learning Reading Group (MLRG) aims to enhance our understanding in broad areas of machine learning (ML), incubating innovative ideas, and fostering cross-domain research collaborations. The topics of interest include, but are not limited to, learning theory, out-of-distribution (OOD) generalization, robustness, causal inference, game-theoretic learning, collaborative/cooperative learning, economics, etc.

Update: From 01 November 2023 onwards, the MLRG will be cohosted with the Machine Learning Group from the University of Saarland. Further details can be found here: Google Spreadsheet.

• Date/Time: Bi-weekly on Wednesday, 14:30pm-16:00pm
• Location: Alternating between CISPA building and MPI building. You can also join virtually, please visit the spreadsheet file above to get the most up-to-date zoom link.
• Organiser: Siu Lun Chau (siu-lun.chau-at-cispa.de), Huynh Quang Kiet Vo ([email protected])

Each session is led by a presenter(s) who presents a paper of their choice and leads the discussion. The participants are encouraged to read the paper beforehand. To stay informed, please sign up to our mailing list.