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: Submissions use specific LaTeX templates designed to maintain uniformity across the volume.

[Anonymous for submission; Bold, 10pt for camera-ready] Abstract : Submissions use specific LaTeX templates designed to

The scholars of the Machine Learning community made a radical pledge: The knowledge belongs to the creator and the public, not the publisher. They provided the prestige of an ISSN and

They offered a home to any machine learning conference or workshop that shared their ethos of open access. They provided the prestige of an ISSN and the archiving services of a major library, but without the bureaucracy. Instead, they submit their manuscripts to a specific

Describe your proposed algorithm or theoretical result.

Authors publishing through PMLR do not submit directly to the platform itself. Instead, they submit their manuscripts to a specific participating venue, such as ICML. Once the venue's program committee completes its rigorous peer-review process, accepted papers are compiled into a designated PMLR volume number.

Because PMLR is not a single journal with a single editor, but a collection of volumes, it acts like a river. The water flows constantly. A researcher submits a paper to a conference; if accepted, it flows immediately into a PMLR volume. It is indexed by Google Scholar, cited by peers, and preserved for the future.