joker-zxr/my-skills/aistats-workflow
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Checking that the SKILL.md file is still in the repository.
Use when planning an AISTATS project timeline from venue fit through abstract submission, full-paper upload, supplementary material, review release, author-reviewer discussion, decision, camera-ready, PMLR publication, registration, presentation, and artifact release, with backward-planning offsets for theory-plus-experiments papers.
Install
npx vskill@latest install joker-zxr/my-skills/aistats-workflowSKILL.md
The same SKILL.md was published earlier as brycewang-stanford/awesome-journal-skills/aistats-workflow.
AISTATS Workflow
Use this as the project-management skill for an AISTATS submission. Replace all dates with the current official timetable and work backwards from OpenReview cutoffs.
AISTATS is a conference, not a journal: it has no standing editor-in-chief and no article-processing charge. The rotating leadership is the per-edition General Chairs and Program Chairs (2026 General Chairs: Emtiyaz Khan and Yingzhen Li; Program Chairs: Arno Solin and Aaditya Ramdas, verified 2026-06-22), and the cost model is registration fees, not APCs — PMLR proceedings are open-access with no author fee. Conference organizers rotate yearly, so re-check the current CFP and organization page rather than carrying a name forward.
Milestones
- Venue fit: confirm the contribution is genuinely at the AI, ML, and statistics interface.
- Evidence lock: freeze theorem statements, assumptions, experiments, simulations,
baselines, reproducibility checklist, and supplement contents.
- Abstract deadline: submit real title, abstract, authors, subject areas, and conflicts.
- Full-paper deadline: upload anonymous PDF and required OpenReview fields.
- Supplement deadline: upload anonymized appendix/code/data if current cycle allows or
requires separate supplementary material.
- Review release: triage correctness, statistical validity, novelty, clarity, and
reproducibility concerns.
- Discussion period: draft concise anonymous text-only clarifications; avoid forbidden links
or unsupported new results.
- Decision: archive reviews, discussion, meta-review, decision, and submitted versions.
- Acceptance: prepare PMLR camera-ready files, registration, in-person presentation, and
public artifact release.
Backward plan from the paper deadline
| Weeks out (heuristic) | Theory-plus-experiments milestone | |
|---|---|---|
| 8+ | Theorems proved, assumption set frozen | |
| 6 | Simulations designed against each theorem | |
| 4 | Real-data runs complete, seeds logged | |
| 3 | Full draft sitting in AISTATS two-column format | |
| 2 | Internal mock review by a statistics-minded reader | |
| 1 | Checklist pass, anonymity sweep, supplement assembly | |
| 0 | Abstract then full paper on OpenReview; supplement by its own cutoff |
These offsets are planning heuristics only — anchor every one of them to the current official timetable, never to a previous cycle's calendar.
Failure modes by stage
- Theory still moving at week 3 forces last-minute theorem edits nobody has verified — the
classic AISTATS correctness reject in the making.
- Leaving format conversion to the final week surfaces overflow late, because two-column math
is far tighter than a one-column working draft.
- Skipping the mock review forfeits the only chance to hear "your experiments violate
Assumption 2" from a friend instead of a reviewer.
- Building the supplement after the paper deadline under time pressure is how anonymity
leaks ship.
Coordination notes
- Assign one named owner for the reproducibility checklist and another for the anonymity
sweep; shared ownership is how both slip.
- Archive the exact submitted PDF, supplement, and checklist, since discussion-phase replies
must quote them precisely.
Output format
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingplugins/my-skills/resources/Awesome-Journal-Skills/AISTATS-Skills/skills/aistats-workflow/SKILL.md
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