Transactions on Machine Learning Research (TMLR)
TMLR (JMLR family) Open worldwide
An open machine learning journal that reviews submissions on a rolling basis through OpenReview, judging technical soundness rather than perceived impact. Manuscripts can be shorter than a typical journal paper.
Free to start · no account needed
Get your cover letter for this programme, drafted from your own documents in about two minutes.
You look at it first. Nothing is submitted without your tap.
About
Also: double-blind review with public reviews; fast turnaround; open access.
Rolling submissions year-round (with occasional holiday pauses). Applications are reviewed on a rolling basis.
How to apply: through OpenReview (you need an account there).
What to prepare: paper.
From the official page (checked 2026-10-21): “emphasizes technical correctness over subjective significance”
Who can apply
- Open to researchers, students
What you will need
- PaperOnly you can supply it: upload it once and it is attached wherever it is asked for.
How to apply
Applications go through the official page (openreview), which needs an account in your name.
How Onward Scout helps
This one is submitted on the organiser's own site, behind your login. Onward Scout prepares every answer and file in the form's order with one-tap copy, so submitting takes minutes; you mark it submitted when you're done.
Every answer is drafted from your own documents and cites where each fact came from; anything we can’t source is flagged for you, never invented.
Let Onward Scout prepare this application
Get your cover letter for this programme, drafted from your own documents in about two minutes. Free to start, no account needed: you look at the draft first, and nothing goes to TMLR (JMLR family) without your tap.
Nothing is submitted without your tap. Logins, CAPTCHAs, payments and interviews stay with you.