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.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uai-topic-selection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. - Nothing remains → you are holding a UAI candidate; now check the evidence shape. - A weaker but real paper remains → the venue call depends on which half is novel; interrogate with the table below. ## Signal table | Project signal | UAI reading | |---|---| | New inference algorithm (MCMC, SMC, variational, belief propagation) with analysis | Home territory since the venue's founding | | Identifiability or discovery result for causal or graphical structure | Core — UAI
- The one-question filter
- Signal table
- Sibling-venue geometry
- Sharpening a genuine fit
- Borderline vignettes
- Calendar map for re-routes
- Anti-signals worth trusting
- Output format
What does the uai-topic-selection skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uai-topic-selection --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 984 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.