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Jes Frellsen

ICML 2026×2SIGIR 2026智能体与工具对齐与偏好效率与系统评测与基准
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0 一作 · 3 篇 · ICML 2026 / SIGIR 2026

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2026 顶会论文

3
作者位次 #11/30ICML 2026Poster· Probabilistic Methods / Bayesian Models and Methods

Position: Agentic AI systems should be making Bayes-consistent decisions

Theodore Papamarkou · Pierre Alquier · Matthias Bauer · Wray Buntine · Andrew Davison · Gintare Karolina Dziugaite · Maurizio Filippone · Andrew Y. K. Foong · Vincent Fortuin · Dimitris Fouskakis · Jes Frellsen · Eyke Hüllermeier · Theofanis Karaletsos · Mohammad Emtiyaz Khan · Nikita Kotelevskii · Salem Lahlou · Yingzhen Li · Fang Liu · Clare Lyle · Thomas Moellenhoff · Konstantina Palla · Maxim Panov · Yusuf Sale · Kajetan Schweighofer · Artem Shelmanov · Siddharth Swaroop · Martin Trapp · Willem Waegeman · Andrew Wilson · Alexey Zaytsev

智能体与工具OpenReview
作者位次 #3/3ICML 2026Poster· Probabilistic Methods / Bayesian Models and Methods

Supervised Guidance Training for Infinite-Dimensional Diffusion Models

Elizabeth Baker · Alexander Denker · Jes Frellsen

作者位次 #7/7SIGIR 2026Poster· Information Retrieval (Short)

ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation

Johannes Kruse · Ryotaro Shimizu · Kasper Lindskow · Jon Tofteskov · Michael Riis Andersen · Julian J. McAuley · Jes Frellsen

摘要

In this paper, we present ZoRRO (Zero-Weight Personalized Recommender System), a zero-weight and training-free framework for personalized news recommendation designed for scalable real-world deployment. We show that ZoRRO outperforms strong neural baselines in offline ranking evaluations and deli...

对齐与偏好效率与系统评测与基准OpenReview

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