ICML

Navigating High Dimensional Concept Space with Metalearning

Max Gupta

机构 * Department of Computer Science（计算机科学系） ； Princeton University（普林斯顿大学） 纠错

Comments 7 pages, 3 figures. Presented at the ICML 2025 HiLD Workshop

Decision-aware training of spatiotemporal forecasting models to select a top K subset of sites for intervention

Kyle Heuton, F. Samuel Muench, Shikhar Shrestha, Thomas J. Stopka, Michael C. Hughes

机构 * Department of Computer Science, Tufts University, Medford, Massachusetts, United States（计算机科学系，塔夫茨大学，马萨诸塞州梅德福，美国） ； Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts, United States（公共卫生与社区医学系，塔夫茨大学医学院，马萨诸塞州波士顿，美国） 纠错

Comments 9 pages, 3 figures

Journal ref Forty-second International Conference on Machine Learning, 2025

Dissecting FLOPs along input dimensions for GreenAI cost estimations

Andrea Asperti, Davide Evangelista, Moreno Marzolla

机构 * University of Bologna Department of Informatics: Science ； Engineering (DISI) University of Bologna Department of Mathematics 纠错

Comments Article accepted at the 7th International Conference on Machine Learning, Optimization, and Data Science. October 4-8, 2021, Grasmere, Lake District, UK

Learning Monotonic Probabilities with a Generative Cost Model

Yongxiang Tang, Yanhua Cheng, Xiaocheng Liu, Chenchen Jiao, Yanxiang Zeng, Ning Luo, Pengjia Yuan, Xialong Liu, Peng Jiang

Journal ref Proceedings of the 42nd International Conference on Machine Learning (ICML), PMLR 267:58789-58804 (2025)