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uai-topic-selection
Use when deciding whether a project belongs at UAI, where uncertainty representation, probabilistic reasoning, graphical models, causal inference, or decision making under uncertainty must be the contribution itself, and when to route instead to AISTATS, NeurIPS, ICML, COLT, CLeaR, or a statistics journal before drafting begins.
UAI-Skills/skills/uai-topic-selection/SKILL.md
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# UAI Topic Selection
Use this before writing a line. UAI — the AUAI's annual conference, running since the
1980s — is the venue where uncertainty is the subject, not the seasoning. The 2026 CFP
invited novel theory, methodology, and applications spanning AI, machine learning, and
statistics, but the reviewer pool and the accepted-paper record reward a specific
shape: papers whose contribution is a probabilistic representation, an inference
procedure, a causal identification result, or a decision rule under uncertainty.
## The one-question filter
*If you deleted every probabilistic element from this paper, would anything remain?*
- Remains a strong paper → the probability is decoration; route to a general ML venue.