Monthly Archives: April 2019
AISTATS 2019 is well under way and Lionel Blonde is there to present his work on Sample-Efficient Imitation Learning via Generative Adversarial Nets. You can check his poster Th79 at the poster session tomorrow (Thursday, April 18, 13h30-16h30). He will be happy to explain how he improves upon GAIL by reducing the sample complexity by orders of magnitude. Go and speak to him!
The HEG (HES-SO Geneva) opened a new Data Science branch in its Master's programe in Information Studies. Our group is responsible for the two major modules on machine learning spanning over two semesters (16 credits in total). Building a new machine learning course is a challenge we are happy to embrace. Continue reading