journal-of-machine-learning-research
Use when targeting Journal of Machine Learning Research (JMLR) or deciding whether a machine learning methods or theory manuscript fits this open-access venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill journal-of-machine-learning-research --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.
# Journal of Machine Learning Research (journal-of-machine-learning-research) ## Journal positioning Journal of Machine Learning Research (JMLR) is the primary open-access, society-run archival journal for machine learning research, publishing since 2000 under a non-profit model with no article-processing charges. It is editorially independent, author-friendly in format, and strongly archival in culture: the expectation is rigorous methods and theory, open code, and lasting scientific contribution — not fast-paced competitive benchmarking. JMLR is read by the global ML research community as a reference for foundational methods, algorithms, and theory. It is not a conference proceedings replacement and does not reward framing calibrated to leaderboard position. This skill is a **fit / venue-selection / re-framing** tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the JMLR site (jmlr.org) and the editorial submission system. ## When to trigger - The author names JMLR as the target venue. - An ML methods or theory paper requires the archival, no-APC, open-access format and the author is assessin
- Journal positioning
- When to trigger
- Scope & topic fit
- Method & evidence bar
- Structure & house style
- Official-submission checklist
- Pre-submission self-check
- Common desk-reject triggers
- Re-routing decision
- Output format
What does the journal-of-machine-learning-research skill do?
Use when targeting Journal of Machine Learning Research (JMLR) or deciding whether a machine learning methods or theory manuscript fits this open-access venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill journal-of-machine-learning-research --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.