Archive for May, 2016

On the way back from NIPS 2015, we got the idea of organizing an ICML workshop on data-efficient machine learning. Data-efficient machine learning is something that is currently somewhat out of the focus of the deeply hyped machine learning community, but there are so many applications where you can simply not collect enough data, e.g., personalized healthcare.

The workshop will be happening at ICML this year, and we are quite excited about the quality of the papers submitted, the invited speakers, and  the breadth of topics that fall into the category of data-efficient machine learning.

More information can be found here.