Draft:Transactions on Machine Learning Research

*Transactions on Machine Learning Research*
Discipline	Machine Learning
Language	English
Edited by	Kyunghyun Cho, Gautam Kamath, Hugo Larochelle, Naila Murray
Publication details
History	2022-present
Publisher	Journal of Machine Learning Research Inc.
Open access	Yes
Standard abbreviations;
ISO 4	Transact Mach Learn Res.
Indexing;
ISSN	2835-8856;
Links
	Journal homepage;

Submission declined on 3 July 2024 by Cabrils (talk).

This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:

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Declined by Cabrils 4 months ago. Last edited by Cabrils 4 months ago. Reviewer: Inform author.

Resubmit

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Comment: Well done on creating the draft, and it may potentially meet the relevant requirements (including WP:GNG, WP:NJOURNALS) but presently it is not clear that it does.
As you may know, Wikipedia's basic requirement for entry is that the subject is notable. Essentially subjects are presumed notable if they have received significant coverage in multiple published secondary sources that are reliable, intellectually independent of each other, and independent of the subject. To properly create such a draft page, please see the articles ‘Your First Article’, ‘Referencing for Beginners’ and ‘Easier Referencing for Beginners’.
Please note that the references are not from sources that are considered reliable for establishing notability.
Also, if you have any connection to the subject, including being paid, you have a conflict of interest that you must declare on your Talk page (to see instructions on how to do this please click the link).
Please familiarise yourself with these pages before amending the draft. If you feel you can meet these requirements, then please make the necessary amendments before resubmitting the page. It would help our volunteer reviewers by identifying, on the draft's talk page, the WP:THREE best sources that establish notability of the subject.
It would also be helpful if you could please identify with specificity, exactly which criteria you believe the page meets (eg "I think the page now meets WP:NJOURNAL criteria #3, because XXXXX").
You may also wish to leave a note for me on my talk page and I would be happy to reassess. Cabrils (talk) 04:46, 3 July 2024 (UTC)

Transactions on Machine Learning Research (TMLR) is a peer-reviewed open access scientific journal covering machine learning. It is a sister journal of the Journal on Machine Learning Research and was established in 2022. The journal was founded by Hugo Larochelle, Kyunghyun Cho, and Raia Hadsell.^[1]

The advisory board includes Yoshua Bengio, Andrew McCallum, Bernhard Schölkopf and Lillian Lee (computer scientist).

History

The journal was founded with the aim of providing fast, conference-style review cycles and aims to prioritize novelty and scientific correctness over subjective significance.

The journal offers several awards, including an Outstanding Paper Certification and a Featured Paper Certification. In 2024, authors of papers awarded one of these certifications were invited to present their research in poster format at the International Conference on Learning Representations.^[2]

References

^ "dblp: Transactions on Machine Learning Research, Volume 2022". dblp.org. Retrieved 2024-06-30.
^ Sun, Yizhou (2023-10-06). "Authors of TMLR publications with Featured and Outstanding Certifications at ICLR 2024 – ICLR Blog". Retrieved 2024-06-30.

[1] "dblp: Transactions on Machine Learning Research, Volume 2022". dblp.org. Retrieved 2024-06-30.

[2] Sun, Yizhou (2023-10-06). "Authors of TMLR publications with Featured and Outstanding Certifications at ICLR 2024 – ICLR Blog". Retrieved 2024-06-30.

[1]

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