Skill UI

A comprehensive guide for authors preparing manuscripts for the International Conference on Artificial Intelligence and Statistics (AISTATS). It advises on whether the paper's contribution is statistically grounded and theory-backed, guiding framing, evidence presentation, and understanding reviewer expectations in statistical machine learning.

This guide assists researchers in transforming empirical findings into high-level, institutionally relevant policy implications for top-tier academic journals (e.g., finance and economics). It teaches how to shift focus from actionable 'recommendations' to theoretical 'implications,' ensuring the policy section is evidence-backed, macro-level, and deeply integrated with the paper's core theory and Chinese context.