ICML

Latent Variable Estimation in Bayesian Black-Litterman Models

Thomas Y. L. Lin, Jerry Yao-Chieh Hu, Paul W. Chiou, Peter Lin

机构 * Department of Physics, National Taiwan University（国家台湾大学物理系） ； Department of Computer Science, Northwestern University（西北大学计算机科学系） ； Center for Foundation Models and Generative AI, Northwestern University（西北大学基础模型与生成人工智能中心） ； D’Amore-McKim School of Business, Northeastern University（东北大学D’Amore-McKim商学院） ； Whiting School of Engineering, Johns Hopkins University（约翰霍普金斯大学Whiting工程学院） ； Gamma Paradigm Capital（Gamma Paradigm资本） 纠错

Comments Accepted at ICML 2025

Efficient Curvature-Aware Hypergradient Approximation for Bilevel Optimization

Youran Dong, Junfeng Yang, Wei Yao, Jin Zhang

Comments Accepted by ICML 2025

Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin

Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen

Comments Accepted to ICML 2025

Meta-Black-Box-Optimization through Offline Q-function Learning

Zeyuan Ma, Zhiguang Cao, Zhou Jiang, Hongshu Guo, Yue-Jiao Gong

Comments Accepted as poster by ICML 2025

Efficient Noise Calculation in Deep Learning-based MRI Reconstructions

Onat Dalmaz, Arjun D. Desai, Reinhard Heckel, Tolga Çukur, Akshay S. Chaudhari, Brian A. Hargreaves

Comments Accepted ICML 2025. Supplementary material included

"Trust me on this" Explaining Agent Behavior to a Human Terminator

Uri Menkes, Assaf Hallak, Ofra Amir

机构 * Uri Menkes ； Assaf Hallak ； Ofra Amir 纠错

Comments 6 pages, 3 figures, in proceedings of ICML 2024 Workshop on Models of Human Feedback for AI Alignment

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations

Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen

Comments ICML 2025 Spotlight Paper. The first two authors contribute equally

Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction

Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong

Comments ICML 2025

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy

Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert

Comments ICML 2024

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

Comments Accepted by ICML 2025

Contextures: Representations from Contexts

Runtian Zhai, Kai Yang, Che-Ping Tsai, Burak Varici, Zico Kolter, Pradeep Ravikumar

Comments ICML 2025, longer version. arXiv admin note: substantial text overlap with arXiv:2504.19792

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach

Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang

Comments Accepted by ICML 2025

Multivariate Conformal Selection

Tian Bai, Yue Zhao, Xiang Yu, Archer Y. Yang

Comments 25 pages, 4 figures. Accepted to ICML 2025

Which Attention Heads Matter for In-Context Learning?

Kayo Yin, Jacob Steinhardt

Journal ref ICML 2025

Interaction-Aware Gaussian Weighting for Clustered Federated Learning

Alessandro Licciardi, Davide Leo, Eros Fanì, Barbara Caputo, Marco Ciccone

Comments Accepted at ICML 2025

DriveGPT: Scaling Autoregressive Behavior Models for Driving

Xin Huang, Eric M. Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S. Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha Srinivasa

Comments ICML 2025. 14 pages, 17 figures, 8 tables, and 1 video link

An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks

Mohsen Dehghankar, Mahdi Erfanian, Abolfazl Asudeh

Comments Accepted at ICML 2025

Wasserstein Policy Optimization

David Pfau, Ian Davies, Diana Borsa, Joao G. M. Araujo, Brendan Tracey, Hado van Hasselt

Comments Accepted to ICML 2025

Leveraging Partial SMILES Validation Scheme for Enhanced Drug Design in Reinforcement Learning Frameworks

Xinyu Wang, Jinbo Bi, Minghu Song

Comments 17 pages, 5 main figures, 2 appendix figures. Submitted to ICML 2025

Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization

Michael S. Yao, James C. Gee, Osbert Bastani

机构 * University of Pennsylvania（宾夕法尼亚大学） 纠错

Comments 52 pages, Accepted to ICML 2025

Challenges and Future Directions of Data-Centric AI Alignment

Min-Hsuan Yeh, Jeffrey Wang, Xuefeng Du, Seongheon Park, Leitian Tao, Shawn Im, Yixuan Li

Comments ICML 2025

The Merit of River Network Topology for Neural Flood Forecasting

Nikolas Kirschstein, Yixuan Sun

Comments https://openreview.net/forum?id=QE6iC9s6vU

Journal ref ICML 2024

Anomaly Detection in Time Series of EDFA Pump Currents to Monitor Degeneration Processes using Fuzzy Clustering

Dominic Schneider, Lutz Rapp, Christoph Ament

机构 * Advanced Technology Adtran（阿德特兰高级技术部门） ； Faculty of Applied Computer Science University of Augsburg（应用计算机科学学院乌尔姆大学） ； University of Augsburg（乌尔姆大学） 纠错

Comments 6 pages, 6 figures

Journal ref 2024 IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN)

Understanding Dataset Difficulty with $\mathcal{V}$-Usable Information

Kawin Ethayarajh, Yejin Choi, Swabha Swayamdipta

Comments ICML 2022 (Outstanding Paper)

Enhancing Long-Term Re-Identification Robustness Using Synthetic Data: A Comparative Analysis

Christian Pionzewski, Rebecca Rademacher, Jérôme Rutinowski, Antonia Ponikarov, Stephan Matzke, Tim Chilla, Pia Schreynemackers, Alice Kirchheim

机构 * Fraunhofer Institute for Material Flow and Logistics（弗劳恩霍夫材料流与物流研究所） ； TU Dortmund University（图尔恩大学） 纠错

Comments Published in: 2024 International Conference on Machine Learning and Applications (ICMLA), IEEE. 6 pages, 3 figures

Journal ref 2024 International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2024, pp. 1176-1181

Simple Graph Contrastive Learning via Fractional-order Neural Diffusion Networks

Yanan Zhao, Feng Ji, Kai Zhao, Xuhao Li, Qiyu Kang, Wenfei Liang, Yahya Alkhatib, Xingchao Jian, Wee Peng Tay

Comments Submitted to ICML

Uncovering Issues in the Radio Access Network by Looking at the Neighbors

José Suárez-Varela, Andra Lutu

机构 * Telefónica Research（电信研究院） 纠错

Comments 7 pages

Journal ref IEEE International Conference on Machine Learning for Communication and Networking, 2025

Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination

Kunal Jha, Wilka Carvalho, Yancheng Liang, Simon S. Du, Max Kleiman-Weiner, Natasha Jaques

Comments Accepted to CogSci 2025, In-review for ICML 2025

Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations

Ziqiao Ma, Zekun Wang, Joyce Chai

Comments NAACL 2025 (Main) & Workshop on Large Language Models and Cognition @ ICML 2024 (Oral)

Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms

Ye Tian, Haolei Weng, Yang Feng

Comments 50 pages, 3 figures

Journal ref Proceedings of the 41st International Conference on Machine Learning, PMLR 235:48226-48279 (2024)