A model of inductive bias learning

We adapt in dalla2026between Baxter's analysis of inductive bias learning, where shared representations across related tasks improve sample complexity, porting that statistical-learning insight into the evolutionary perception setting via the separation condition.

We invoke this multi-task representation result in riva2026task to acknowledge that shared representations improve sample complexity without pinning down the representational object selected by any specific loss.