#ICML2025
In this blog post, Haruka Kiyohara writes about work presented at #ICML2025, investigating the participation dynamics in two-sided markets. Find out more about the long-term impacts of decision-making algorithms on such two-sided platforms.
aihub.org/2025/10/09/p...
Policy design for two-sided platforms with participation dynamics: Interview with Haruka Kiyohara - ΑΙhub
aihub.org
October 10, 2025 at 2:22 PM
#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

by @aihub.org

robohub.org/icml2025-out...
#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing - Robohub
robohub.org
October 7, 2025 at 11:00 AM
A nice paper in ICML2025, generalizing the smoothness notion, for which GD convergence is provided. The convergence proof is very transparent: descent lemma + telescoping + estimation of stepsize.
arxiv.org/abs/2412.11773
October 6, 2025 at 10:47 PM
FineXtract can extract roughly 20% of images from fine‑tuned diffusion models; the study, presented at ICML 2025, notes that checkpoints often appear on Civitai and HuggingFace. https://getnews.me/personalized-diffusion-models-may-leak-fine-tuned-training-data/ #finextract #icml2025
September 29, 2025 at 7:12 PM
Broad training-domain diversity is crucial for CLIP’s zero‑shot domain and compositional generalization, the ICML 2025 Spotlight study finds. Submissions ran Feb 2025–Sep 2025. Read more: https://getnews.me/understanding-clips-domain-and-compositional-generalization/ #clip #zeroshot #icml2025
September 17, 2025 at 10:24 AM
Peer Review: Boost Your Research & Get Published

ICML2025 award winners discuss AI conference peer review crisis, proposing author feedback & reviewer rewards to improve quality and address rising submission volumes.
Peer Review: Boost Your Research & Get Published
ICML2025 award winners discuss AI conference peer review crisis, proposing author feedback & reviewer rewards to improve quality and address rising submission volumes.
bytetrending.com
September 16, 2025 at 4:16 AM
✨ Robôs Colaborativos: O Futuro da Revisão em Conferências ICML2025!
📝 Descubra como a automação e os robôs colaborativos estão revolucionando a revisão de artigos na conferência ICML2025. A tecnologia avança e a qualidade das pesquisas melhora! Clique no link e fique por dentro dessa inovação que
Robôs Colaborativos Melhoram Revisão Em Conferência ICML2025 - INK|DESIGN NEWS
Recentes avanços em robótica e automação têm transformado indústrias, com robôs e drones desempenhando papéis cruciais em processos de fabricação e logística.
inkdesign.com.br
September 15, 2025 at 12:36 PM
#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing

At this year’s International Conference on Machine Learning (ICML2025), Jaeho Kim, Yunseok Lee and Seulki Lee won an outstanding position paper award for their work Position: The AI…
#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing
At this year’s International Conference on Machine Learning (ICML2025), Jaeho Kim, Yunseok Lee and Seulki Lee won an outstanding position paper award for their work Position: The AI Conference Peer Review Crisis Demands Author Feedback and Reviewer Rewards. We hear from Jaeho about the problems they were trying to address, and their proposed author feedback mechanism and reviewer reward system.
786hz.com
September 13, 2025 at 10:18 PM
The value of prediction in identifying the worst-off: Interview with Unai Fischer Abaigar

At this year’s International Conference on Machine Learning (ICML2025), Unai Fischer-Abaigar, Christoph Kern and Juan Carlos Perdomo won an outstanding paper award for their work The Value of Prediction in…
The value of prediction in identifying the worst-off: Interview with Unai Fischer Abaigar
At this year’s International Conference on Machine Learning (ICML2025), Unai Fischer-Abaigar, Christoph Kern and Juan Carlos Perdomo won an outstanding paper award for their work The Value of Prediction in Identifying the Worst-Off. We hear from Unai about the main contributions of the paper, why prediction systems are an interesting area for study, and further work they are planning in this space.
786hz.com
September 12, 2025 at 9:02 PM
In our latest blog post, @onnoeberhard.com writes about work presented at #ICML2025 on partially observable reinforcement learning which introduces an alternative memory framework - “memory traces”.
aihub.org/2025/09/12/m...
Memory traces in reinforcement learning - ΑΙhub
aihub.org
September 12, 2025 at 2:29 PM
How do you solve a problem like conference reviewing? Jaeho Kim explains all in this interview covering the position paper that won Jaeho and colleagues an outstanding paper award at #ICML2025 @icmlconf.bsky.social
aihub.org/2025/09/02/i...
#ICML2025 outstanding position paper: Interview with Jaeho Kim on addressing the problems with conference reviewing - ΑΙhub
aihub.org
September 4, 2025 at 10:21 AM
6/ This work appeared earlier as a poster at ICML 2024 (ML4LMS workshop). Thanks to that community for early feedback.
openreview.net/forum?id=gGn...
#ICML #icml2025
www.mdpi.com
September 1, 2025 at 11:19 AM
We hear from Unai Fischer (@lmumuenchen.bsky.social), one of the winners of an #ICML2025 outstanding paper award, about his work (with Christoph Kern and Juan Carlos Perdomo) on “The value of prediction in identifying the worst-off”

aihub.org/2025/08/27/t...
The value of prediction in identifying the worst-off: Interview with Unai Fischer Abaigar - ΑΙhub
aihub.org
August 28, 2025 at 2:23 PM
Understanding how regions of the brain communicate is like trying to follow conversations at a crowded party. A team led by #UW #UWAllen prof @mattgolub.bsky.social recently made headway with a new machine learning method that cuts through the noise. #ICML2025 news.cs.washington.edu/2025/08/12/a...
Allen School researchers develop machine learning technique to capture the chatter between brain regions - Allen School News
Understanding how different parts of the brain communicate is like trying to follow conversations at a crowded party. Neuroscientists face a similar challenge: even when they can record signals from m...
news.cs.washington.edu
August 13, 2025 at 5:22 PM
We are pleased to announce that ScaDS.AI was represented at the International Conference on Machine Learning (#icml2025) which took place in Vancouver from July 13 to 19 with several papers.

Read more in our blogpost: 
👉https://f.mtr.cool/zgvjsmvuli
July 29, 2025 at 1:02 PM
Dare I say my personal computer is finally complete now? 😅 #icml2025
July 25, 2025 at 10:32 PM
That’s my little #ICML2025 convex RL roundup!

If you know of other cool work in this space (or are working on one), feel free to reply and share.

Hope to see even more work on convex RL variations 🚀

n/n
July 24, 2025 at 1:09 PM
We’re training AI on everything that we know, but what about things that we don’t know?

At #ICML2025, the "Exploration in AI Today (EXAIT)" Workshop sparked a crucial conversation: as AI systems grow more powerful, they're relying less on genuine exploration and more on curated human data.
July 23, 2025 at 7:17 PM
ICML2025|清華醫工平臺提出大模型「全週期」醫學能力評測框架MultiCogEval #平臺 #提出 #框架
ICML2025|清華醫工平臺提出大模型「全週期」醫學能力評測框架MultiCogEval
本文工作由清華大學電子系醫工交叉平臺吳及教授和劉喜恩助理研究員所領導的醫學自然語言處理團隊,聯合北郵、科大訊飛
www.headline01.com
July 23, 2025 at 4:04 PM
it's extra work, but i really enjoy making creative posters.
these are the two i made for #ICML2025 last week.

i just sent another poster to get printed with a design i'm excited to hang on the poster boards @rl-conference.bsky.social next month! 😃
July 22, 2025 at 12:15 PM
h/t Dale Schuurmans at ICML2025
July 22, 2025 at 4:26 AM
BC nature 💚💚💚 #icml2025
July 22, 2025 at 3:41 AM
@calgaryml.bsky.social was at #ICML2025 in Vancouver🇨🇦 last week: our lab had 6 different works being presented by 5 students across both the main conference & 6 workshops!

We are also recruiting fully-funded ML PhD/MSc students🧑‍🎓If interested, reach out to me with a resume ✉️
July 21, 2025 at 6:07 PM
Our paper from the ICML 2025 workshop on Multi-Agent Systems explores a cascaded LLM framework for cost-effective decision-making. Small models defer to larger ones—or abstain for human input—based on uncertainty.

Paper: arxiv.org/abs/2506.11887
#LLM #MultiAgent #ICML2025
July 21, 2025 at 12:05 PM
Our paper from the ICML 2025 workshop on Models of Human Feedback (Oral presentation) proposes few-shot steerable alignment for LLMs, utilising neural processes to handle conflicting and unobserved preferences.

Paper: arxiv.org/abs/2412.13998

#LLM #AIAlignment #ICML2025
July 21, 2025 at 12:02 PM