Balancing Simulation-based Inference for Conservative Posteriors

Understand

Conservative inference is a major concern in simulation-based inference.

• It has been shown that commonly used algorithms can produce overconfident posterior approximations.
• Balancing has empirically proven to be an effective way to mitigate this issue.
• However, its application remains limited to neural ratio estimation.