2024
Out-of-Variable Generalisation for Discriminative Models
ICLR 2024poster
The ability of an agent to do well in new environments is a critical aspect of intelligence. In machine learning, this ability is known as $\textit{strong}$ or $\textit{out-of-distribution}$ generalization. However, merely considering differences in distributions is inadequate for fully capturing di…