Transactions on Machine Learning Research

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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.

Announcing the 2025 TMLR Outstanding Certification By Gautam Kamath, on behalf of the 2025 TMLR Outstanding Paper Committee: Pablo Samuel Castro, Pin-Yu Chen, Vincent Dumoulin, Amir-massoud…

For more details on the process, check out our full blog post! 6/6
medium.com/@TmlrOrg/ann...

🏅Finalist: Gradient Scarcity in Graph Learning with Bilevel Optimization, by Hashem GHANEM, Samuel Vaiter, Nicolas Keriven 5/n
openreview.net/forum?id=10Y...

🏅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,

🏅Finalist: Causal Reasoning and Large Language Models: Opening a New Frontier for Causality, by Emre Kıcıman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan 3/n
openreview.net/forum?id=mqo...

🏆 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...

🥁 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 ⬇️

🚀 Introducing TMLR Beyond PDF!

🎬 This is a new, HTML-based submission format for TMLR, that supports interactive figures and videos, along with the usual LaTeX and images.

🎉 Thanks to TMLR Editors in Chief: Hugo Larochelle, @gautamkamath.com, Naila Murray, Nihar B. Shah, and Laurent Charlin!

Self-nomination (reviewers) -- Transactions on Machine Learning Research (TMLR) Please fill out this form to volunteer to be a reviewer for Transactions on Machine Learning Research. More details on the journal are available on the website; in particular, check out the submissio...

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...

2024 TMLR Annual Report 2024 TMLR Annual Report Kyunghyun Cho Gautam Kamath Hugo Larochelle Naila Murray Paul Vicol Summary Editorial Team Submissions and Decisions Problematic Case(s) and Policies Certifications OpenReview...

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...

Open Problems and Fundamental Limitations of Reinforcement Learning... Reinforcement learning from human feedback (RLHF) is a technique for training AI systems to align with human goals. RLHF has emerged as the central method used to finetune state-of-the-art large...

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...

DINOv2: Learning Robust Visual Features without Supervision The recent breakthroughs in natural language processing for model pretraining on large quantities of data have opened the way for similar foundation models in computer vision. These models could...

Outstanding Finalist 2: “DINOv2: Learning Robust Visual Features without Supervision," by Maxime Oquab, Timothée Darcet, Théo Moutakanni et al. 5/n openreview.net/forum?id=a68...

Beyond the Imitation Game: Quantifying and extrapolating the... Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabilities are as yet...

Outstanding Finalist 1: “Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models” (BIG-bench), by a very large team (450 authors). 4/n openreview.net/forum?id=uyT...

Holistic Evaluation of Language Models Language models (LMs) are becoming the foundation for almost all major language technologies, but their capabilities, limitations, and risks are not well understood. We present Holistic Evaluation...

Outstanding Certification 2: “Holistic Evaluation of Language Models” (HELM), by a large team led by Percy Liang, Rishi Bommasani, and Tony Lee 3/n
openreview.net/forum?id=iO4...

Inversion by Direct Iteration: An Alternative to Denoising... Inversion by Direct Iteration (InDI) is a new formulation for supervised image restoration that avoids the so-called ``regression to the mean'' effect and produces more realistic and detailed...

This year we have 2 outstanding certifications, and 3 finalists!

Outstanding Certification 1: “Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration” by Mauricio Delbracio & Peyman Milanfar. 2/n
openreview.net/forum?id=Vmy...

🎉Announcing... the 2024 TMLR Outstanding Certifications! (aka, our "best paper" awards!)

Are you bursting with anticipation to see what they are? Check out this blog post, and read down-thread!! 🎉🧵👇 1/n
medium.com/@TmlrOrg/ann...