A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization
机构 * Department of Computer Science ; Engineering, Texas A\&M University, College Station, TX, USA
Comments In ICML 2025
期刊&会议
International Conference on Machine Learning · 会议 · Machine Learning
机构 * Department of Computer Science ; Engineering, Texas A\&M University, College Station, TX, USA
Comments In ICML 2025
机构 * Microsoft Research, Health Futures, Cambridge, United Kingdom(微软研究院,健康未来,剑桥,英国)
Comments Actionable Interpretability Workshop at ICML 2025. 24 pages, 7 figures, 5 tables
机构 * School of Data Science, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China(数据科学学院,香港中文大学(深圳)) ; School of Artificial Intelligence, The Chinese University of Hong Kong, Shenzhen, Shenzhen, China(人工智能学院,香港中文大学(深圳)) ; Department of Mathematics, Michigan State University, East Lansing, USA(数学系,密歇根州立大学) ; School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, USA(工业与系统工程学院,佐治亚理工学院)
Comments Accepted by ICML-2025
机构 * Department of Computer Science, University of Colorado Boulder(计算机科学系,科罗拉多大学博尔德分校)
Comments 17 pages, 9 figures, 7 tables. Accepted to TerraBytes@ICML 2025
机构 * Mila-Quebec AI Institute, Canada(魁北克AI研究所) ; Samsung - SAIT AI Lab, Montreal, Canada(三星SAIT人工智能实验室) ; University of Montreal, Canada(蒙特利尔大学) ; Institute of Science and Technology Austria(奥地利科学与技术研究所) ; National University of Singapore(新加坡国立大学)
Journal ref ICML 2024
机构 * Rudolf Peierls Centre for Theoretical Physics, Oxford(鲁道夫·佩尔尔斯理论物理中心,牛津) ; University of Oxford(牛津大学)
Comments 6 pages, 6 figures. ICML 2025 Workshop on Actionable Interpretability
机构 * School of Artificial Intelligence, Nanjing University, China(人工智能学院,南京大学) ; National Key Laboratory for Novel Software Technology, Nanjing University, China(新型软件技术国家重点实验室,南京大学)
Comments Accepted by Forty-Second International Conference on Machine Learning (ICML 2025)
Comments ICML 2025
机构 * Google DeepMind(谷歌DeepMind)
Comments ICML 2025
机构 * University of Tübingen and Tübingen AI Center(图宾根大学和图宾根人工智能中心)
Comments Presented at the Humans, Algorithmic Decision-Making and Society Workshop at ICML 2024
Comments Accepted to ICML 2025
机构 * Nvidia Corporation(Nvidia公司) ; Institute for Artificial Intelligence Research(人工智能研究机构) ; Faculty of Technical Sciences, University of Novi Sad(诺维萨德大学技术科学学院) ; Department of Mathematics and Informatics, Faculty of Sciences, University of Novi Sad(诺维萨德大学科学学院数学与信息学系) ; University of Illinois Urbana-Champaign(伊利诺伊大学厄巴纳-香槟分校) ; University of Chicago(芝加哥大学) ; Georgia Institute of Technology(佐治亚理工学院) ; Department of Computer and Information Science, School of Engineering and Applied Science, University of Pennsylvania(宾夕法尼亚大学计算机与信息科学系) ; Massachusetts Institute of Technology(麻省理工学院)
Comments Accepted at the Second AI for Math Workshop at the 42nd International Conference on Machine Learning (ICML 2025)
机构 * MIT(麻省理工学院)
Comments ICML 2025 Workshop R2-FM
机构 * Department of the Built Environment, National University of Singapore(新加坡国立大学建筑环境系) ; Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology(韩国科学技术院工业与系统工程系)
Comments ICML 2025 CO-Build Workshop Poster
机构 * University of Science and Technology of China(中国科学技术大学) ; Institute of Artificial Intelligence, Hefei Comprehensive National Science Center(合肥综合性国家科学中心人工智能研究院) ; Data Science Institute, Imperial College London(伦敦帝国理工学院数据科学研究院) ; iFLYTEK CO., LTD(iFLYTEK公司)
Comments Accepted by ICML 2025
机构 * Amos You(独立研究者)
Comments ES-FoMo III: 3rd Workshop on Efficient Systems for Foundation Models (ICML 2025)
机构 * Department of Computer Science, Universidad de Concepción(康塞普西翁大学计算机科学系) ; Center for Data and Artificial Intelligence, Universidad de Concepción(康塞普西翁大学数据与人工智能中心) ; Millennium Institute of Astrophysics (MAS)(天文物理千年研究所) ; Heidelberg Institute for Theoretical Studies(海德堡理论研究 institute) ; Center for Mathematical Modeling (CMM), Universidad de Chile(智利大学数学建模中心) ; John A. Paulson School of Engineering and Applied Sciences, Harvard University(哈佛大学工程与应用科学学院) ; Data and Artificial Intelligence Initiative (IDIA), Faculty of Physical and Mathematical Sciences, Universidad de Chile(智利大学数据与人工智能倡议,物理与数学科学学院) ; Instituto de Astrofísica, Pontificia Universidad Católica de Chile(智利天主大学天文研究所) ; Centro de Astro-Ingeniería, Pontificia Universidad Católica de Chile(智利天主大学天文工程中心) ; European Southern Observatory (ESO)(欧洲南 Observatory) ; Dept. of Electrical Engineering, University of Chile(智利大学电气工程系) ; Instituto de Alta Investigación, Universidad de Tarapacá(塔拉帕卡大学高级研究 institute)
Comments Accepted at the 2025 Workshop on Machine Learning for Astrophysics at the International Conference on Machine Learning (ICML)
机构 * Halıcıoğlu Data Science Institute (HDSI), University of California San Diego, La Jolla, CA, USA(Halıcıoğlu数据科学研究所(HDSI),加州大学圣地亚哥分校,拉贾拉,加州,美国)
Comments 8 pages, ICML MAS workshop
机构 * University of California, Berkeley(加州大学伯克利分校) ; Columbia University(哥伦比亚大学) ; Lawrence Berkeley National Laboratory(伯克利国家实验室) ; Google DeepMind(谷歌DeepMind)
Comments 79 pages, appeared in Proceedings of the 42nd International Conference on Machine Learning, Vancouver, Canada
Journal ref ICML 2025
Comments Accepted at ICML 2025. Project page: https://weborganizer.allen.ai
机构 * Valence Labs(Valence实验室) ; University of Manchester(曼彻斯特大学)
Comments ICML 2025 main-track paper (42nd International Conference on Machine Learning). Formerly appeared as best paper runner-up at NeurIPS 2024 Foundation Models for Science Workshop (38th Conference on Neural Information Processing Systems). 18 pages, 7 figures
机构 * Machine Learning Department, Carnegie Mellon University, Pittsburgh, USA(卡内基梅隆大学机器学习系) ; The Language Technologies Institute, Carnegie Mellon University, Pittsburgh, USA(卡内基梅隆大学语言技术研究所)
Comments Project page: https://github.com/neulab/ragged
Journal ref ICML 2025
机构 * State Key Laboratory for Multimedia Information Processing, School of Computer Science, PKU-Anker LLM Lab, Peking University, Beijing, China(多媒体信息处理国家重点实验室,计算机科学学院,PKU-Anker LLM实验室,北京大学,北京,中国) ; Paul G. Allen School of Computer Science(保罗·G·阿伦计算机科学学校) ; Engineering, University of Washington, U.S.A.(工程,华盛顿大学,美国)
Comments Accepted in ICML 2025 AI4MATH Workshop
机构 * Argmax Inc.(Argmax公司) ; University of California, Los Angeles, USA(加州大学洛杉矶分校)
Comments ICML 2025 - On-Device Learning for Foundational Models Workshop
机构 * Stanford University(斯坦福大学) ; University of California, Berkeley(加州大学伯克利分校)
Comments ICML 2025
机构 * Deutsches Forschungszentrum für Künstliche Intelligenz GmbH.(德国人工智能研究中心有限公司) ; Institute of Informatics, Ludwig-Maximilians-Universität München(慕尼黑大学信息学院)
Comments Accepted to ICML 2025
机构 * Harbin Institute of Technology, Shenzhen, China.(哈尔滨工业大学深圳研究院) ; Huawei Translation Services Center, Beijing, China.(华为翻译服务中心)
Comments This paper has been accepted by ICML 2025. Models and benchmarks can be found at https://www.modelscope.cn/collections/F2STrans-42526ff95dd843
机构 * Max Planck Institute for Informatics, Saarland Informatics Campus, Germany(马克斯·普朗克研究所信息学院,萨尔兰信息校区,德国)
Comments For the project documentation see https://spatialreasoners.github.io/ . The SRM project website is available at https://geometric-rl.mpi-inf.mpg.de/srm/ . The work was published on ICML 2025 CODEML workshop
机构 * Department of EECS, Massachusetts Institute of Technology, Cambridge MA 02139, USA(麻省理工学院电子工程与计算机科学系) ; Department of CSE, Massachusetts Institute of Technology, Cambridge MA 02139, USA(麻省理工学院计算机科学与工程系)
Comments Published at ICML 2025. 27 pages, 10 figures
机构 * Department of Statistics and Data Science, Yonsei University, Seoul, Korea(统计与数据科学系,延世大学,首尔,韩国)
Comments contrastive learning, representation learning, embedding, similarity, negative pair, positive pair
Journal ref International Conference on Machine Learning (ICML) 2025