TMLR

Learning to Rank with Top-$K$ Fairness

Boyang Zhang, Quanqi Hu, Mingxuan Sun, Qihang Lin, Tianbao Yang

机构 * Computer Science & Engineering, Louisiana State University（计算机科学与工程，路易斯安那州立大学） ； Computer Science & Engineering, Texas A&M University（计算机科学与工程，德克萨斯农工大学） ； Business Analytics, University of Iowa（商业分析，爱荷华大学） 纠错

Comments Already accepted: https://openreview.net/forum?id=SSPCc39XvO @article{ zhang2025learning, title={Learning to Rank with Top-\$K\$ Fairness}, author={Boyang Zhang and Quanqi Hu and Mingxuan Sun and Qihang Lin and Tianbao Yang}, journal={Transactions on Machine Learning Research}, issn={2835-8856}, year={2025}, url={https://openreview.net/forum?id=SSPCc39XvO}, note={} }

On the Low-Rank Parametrization of Reward Models for Controlled Language Generation

Sergey Troshin, Vlad Niculae, Antske Fokkens

Comments TMLR 2025

Data-Driven Discovery of PDEs via the Adjoint Method

Mohsen Sadr, Tony Tohme, Kamal Youcef-Toumi

机构 * Massachusetts Institute of Technology, USA（麻省理工学院，美国） ； Paul Scherrer Institute, Switzerland（保罗·舍恩研究所，瑞士） 纠错

Comments Published in Transactions on Machine Learning Research (TMLR)

Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients

Stefano Bruno, Sotirios Sabanis

机构 * School of Mathematics University of Edinburgh, United Kingdom（爱丁堡大学数学学院） ； Department of Industrial Engineering Ulsan National Institute of Science and Technology, Republic of Korea（釜山国立科学技术院工业工程系） ； National Technical University of Athens, Greece（雅典国家技术大学） ； Archimedes, Athena Research Center, Greece（阿提卡研究中心） 纠错

Comments Accepted for publication in Transactions on Machine Learning Research