IFDS workshop brings together data science experts to explore ways of making algorithms that learn from data more robust and resilient
The workshop focused on exploring “distributional robustness.” This is a promising framework and research area in data science aimed at addressing complex shifts and changes in data, which are fielded by automated devices and processes such as the algorithms used in AI and machine learning.