Open Access Machine Learning Publications

Proceedings of
Machine Learning Research

PMLR is an official open-access venue publishing proceedings of high-impact workshops and peer-reviewed conferences in machine learning.

Series Editors: Neil D. Lawrence & Mark Reid
330+
Published Volumes
15,000+
Open-Access Papers
100%
CC-BY License
25+
Years of History
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Publishing Services

For Conference & Workshop Organizers

PMLR welcomes proposals to publish peer-reviewed proceedings from academic workshops and conferences. All proceedings are freely accessible online under open licenses.

01

Prepare Proposal Details

Include conference scope, expected paper count, peer-review process, and brief bio sketch of volume editors.

02

Submit to Series Editors

Proposals are evaluated on scholarly quality, rigor of review, and alignment with machine learning research.

03

Adhere to Format Specs

Once approved, authors must use the official PMLR LaTeX style files and volume editors compile XML/JSON metadata.

Interactive Proposal Drafter

Fill in details to generate a formatted email draft for the PMLR series editors.