We are delighted to welcome eight new graduate students joining MPI-SWS this year in the Distributed, Networked, and Mobile Systems research area: Reyhaneh Karimipour, Mershad Lotfi and Sepehr Mousavi (joining us from the Sharif University of Technology), Vaastav Anand (from the University of British Columbia), Artem Ageev (from the University of…
MPI-SWS faculty member Adish Singla is teaching a seminar on Machine Teaching at Saarland University in the Winter 2019/2020 semester.
The following three MPI-SWS papers have been accepted to NeurIPS 2019, the flagship conference in machine learning: Teaching Multiple Concepts to a Forgetful Learner Learner-aware Teaching: Inverse Reinforcement Learning with Preferences and Constraints Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
Researchers from the Machine Teaching Group at MPI-SWS have won a Microsoft Research PhD Scholarship for the project "Reinforcement Learning for Enabling Next-Generation Human-Machine Partnerships". The scholarship provides funding for one PhD student. More details about the scholarship programme can be found here.
The Winter 2019/2020 core Operating Systems course at Saarland University is being co-taught by MPI-SWS faculty members Björn Brandenburg, Antoine Kaufmann, and Keon Jang, along with MPI-SWS doctoral student Aastha Mehta.
