| Discipline | Machine learning |
|---|---|
| Language | English |
| Edited by | Francis Bach,David Blei |
| Publication details | |
| History | 2000–present |
| Publisher | JMLR, Inc. and Microtome Publishing (United States) |
| Yes | |
| 4.091 (2018) | |
| Standard abbreviations ISO 4 (alt) · Bluebook (alt) NLM (alt) · MathSciNet (alt | |
| ISO 4 | J. Mach. Learn. Res. |
| Indexing CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus · W&L | |
| CODEN | JMLRAJ |
| ISSN | 1532-4435 (print) 1533-7928 (web) |
| LCCN | 00212568 |
| OCLC no. | 712803341 |
| Links | |
| Part of a series on |
| Machine learning anddata mining |
|---|
Learning with humans |
Model diagnostics |
TheJournal of Machine Learning Research is apeer-reviewedopen accessscientific journal coveringmachine learning. It was established in 2000 and the first editor-in-chief wasLeslie Kaelbling.[1] The currenteditors-in-chief are Francis Bach (Inria) andDavid Blei (Columbia University).
The journal was established as an open-access alternative to the journalMachine Learning. In 2001, fortyeditorial board members ofMachine Learning resigned, saying that in the era of theInternet, it was detrimental for researchers to continue publishing their papers in expensive journals with pay-access archives. The open access model employed by theJournal of Machine Learning Research allows authors to publish articles for free and retain copyright, while archives are freely available online.[2]
Print editions of the journal were published byMIT Press until 2004 and by Microtome Publishing thereafter. From its inception, the journal received no revenue from the print edition and paid no subvention to MIT Press or Microtome Publishing.[1]
In response to the prohibitive costs of arranging workshop and conferenceproceedings publication with traditionalacademic publishing companies, the journal launched a proceedings publication arm in 2007[3] and now publishes proceedings for several leading machine learningconferences, including theInternational Conference on Machine Learning,COLT,AISTATS, and workshops held at theConference on Neural Information Processing Systems.