Wanna earn yourself one of these bad boys? Sign up to be an Action Editor for TMLR! We are also looking for reviewers as well.
Please fill out one of the following forms:
- Volunteer to action editor: docs.google.com/forms/d/e/1F...
- Volunteer to review: docs.google.com/forms/d/e/1F...
Check out the full TMLR annual report from 2025 for more info on an amazing year for the journal! 8/8
docs.google.com/document/d/1...
And finally, we bade farewell to our final founding EiC, Hugo Larochelle. But we are happy to welcome Laurent Charlin onto the team! 7/n
bsky.app/profile/tmlr...
We also launched our Beyond PDF format! We're excited to see what sort of creative submissions people choose to share with us. 6/n
We expanded our Journal to Conference partnerships in a huge way! Now we have a J2C Certification, which supports high quality TMLR work in being presented at any of the three big ML conferences, NeurIPS, ICML, and ICLR. This is on top of maintaining our other partnerships. 5/n
Like most ML venues, there are unfortunately some problematic cases. As the venue grows and tools which enable poor behaviour become more powerful, we anticipate more over time. We're being proactive in new measure to address these. 4/n
Nevertheless, at ~90 days median turnaround time, we're faster than our neighbouring venues like NeurIPS and JMLR. There are certainly outliers, but for most papers, we have a relatively expeditious review process. Thank you to our reviewers and AEs for making this happen! 3/n
Our number of submissions per month has increased from ~150 per month in 2024, to > 250 per month in 2025.
Some unusual behaviour due to our December pause, but early 2026 numbers are very strong! 2/n
TMLR's 2025 annual report! The word of the year is growth: whether it's our number of submissions, published papers, or reviewers, pretty much everything has increased ~50%.
EXCEPT: our review period, which is still shorter than NeurICMLR (91 vs 126 days)
Read on for more! 1/n
With a new year comes a new Editor-in-Chief! Please give a warm welcome to Laurent Charlin (HEC MontrΓ©al and Mila)!
He rounds out the team with Gautam Kamath, Naila Murray, and Nihar Shah to help lead TMLR through 2026.
Now, all three founders of TMLR (Hugo Larochelle, Kyunghyun Cho, and Raia Hadsell) have completed their service (though they still guide us via the advisory board). The initiative is in the hands of the community now. Let's make them proud!
The end of 2025 marks the end of Hugo Larochelle's term as (Founding co-) Editor-in-chief of TMLR. It is an understatement to say that he was indispensable to making TMLR what it is today. Huge thanks to
Hugo for everything he's done!
bsky.app/profile/tmlr...
The location for the meet and greet has been decided! Meet @gautamkamath.com and Nihar from 9:30 to 10:30 AM on Thursday Dec 4 and Friday Dec 5 in Sails Pavilion, most likely at the edge near Ballroom 20.
For more details on the process, check out our full blog post! 6/6
medium.com/@TmlrOrg/ann...
π
Finalist: Gradient Scarcity in Graph Learning with Bilevel Optimization, by Hashem GHANEM, Samuel Vaiter, Nicolas Keriven 5/n
openreview.net/forum?id=10Y...
π
Finalist: Cognitive Architectures for Language Agents, by Theodore Sumers, Shunyu Yao, Karthik Narasimhan, Tom Griffiths 4/n
openreview.net/forum?id=1i6...
There are an additional three finalists! In no particular order,
π
Finalist: Causal Reasoning and Large Language Models: Opening a New Frontier for Causality, by Emre KΔ±cΔ±man, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan 3/n
openreview.net/forum?id=mqo...
π The Outstanding Certification goes to:
Mantis: Interleaved Multi-Image Instruction Tuning, by Dongfu Jiang, Xuan He, Wyett Zeng, Cong Wei, Max Ku, Qian Liu, Wenhu Chen 2/n
openreview.net/forum?id=skL...
π₯ Announcing the 2025 TMLR Outstanding Certification! The committee decided upon 1 recipient and 3 finalists. Read on to learn more!
Committee: Pablo Samuel Castro, Pin-Yu Chen, Vincent Dumoulin, Amir massoud Farahmand, Andreas Kirsch, Jasper Lee, Jeffrey Pennington, Colin Raffel, Chang Xu 1/n
You'll be able to find them from 9:30 to 10:30 AM on Thursday Dec 4 and Friday Dec 5 for a TMLR meet-and-greet (precise location TBA), or if you run into them at any other time during the conference!
Will you be at #NeurIPS2025? Come talk TMLR and collect swag!
EiCs Gautam Kamath (@gautamkamath.com) and Nihar Shah will be there -- if you are an AE or an Expert Reviewer, or have a Featured or Outstanding Certification, you can get a free TMLR laptop sticker! Locations β¬οΈ
π Introducing TMLR Beyond PDF!
π¬ This is a new, HTML-based submission format for TMLR, that supports interactive figures and videos, along with the usual LaTeX and images.
π Thanks to TMLR Editors in Chief: Hugo Larochelle, @gautamkamath.com, Naila Murray, Nihar B. Shah, and Laurent Charlin!
Please fill out one of the following forms:
- Volunteer to review: docs.google.com/forms/d/17_G...
- Volunteer to action editor: docs.google.com/forms/d/15Nh....
As Transactions on Machine Learning Research (TMLR) grows in number of submissions, we are looking for more reviewers and action editors. Please sign up!
Only one paper to review at a time and <= 6 per year, reviewers report greater satisfaction than reviewing for conferences!
Following the success of last year's initiative, RL Conference 2025 (@rl-conference.bsky.social) is again having a Journal to Conference track!
Accepted TMLR within scope are invited to submit for consideration by May 1!
docs.google.com/forms/d/e/1F...
Check out TMLR's 2024 Annual Report! Featuring stats, updates, and details about plans for the future!
docs.google.com/document/d/1...
New year, new editor-in-chief: we are excited to welcome Nihar B. Shah to the editors-in-chief of TMLR!
We bade farewell to founding EiC Kyunghyun Cho (@kyunghyuncho.bsky.social), who has done immense sevice by co-founding and helping TMLR thrive the last several years.
Thanks to Outstanding Certification committee: Michael Bowling, Brian Kingsbury, Andreas Kirsch, Yingzhen Li, Eleni Triantafillou.
Check out the blog post for details on the selection process! 7/7
medium.com/@TmlrOrg/ann...
Outstanding Finalist 3: "Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback" by Stephen Casper, Xander Davies et al. 6/n openreview.net/forum?id=bx2...
