NeurIPS

More of the Same: Persistent Representational Harms Under Increased Representation

Jennifer Mickel, Maria De-Arteaga, Leqi Liu, Kevin Tian

机构 * EleutherAI ； Universitat Ramon Llull, ESADE（拉蒙·拉鲁尔大学，ESADE） ； UT Austin（德克萨斯大学奥斯汀分校） 纠错

Comments Proceedings of the Neural Information Processing Systems (NeurIPS) 2025; 39 pages, 7 figures, 15 tables

A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees

Yuhao Zhou, Jintao Xu, Bingrui Li, Chenglong Bao, Chao Ding, Jun Zhu

Comments NeurIPS 2025

DPA: A one-stop metric to measure bias amplification in classification datasets

Bhanu Tokas, Rahul Nair, Hannah Kerner

机构 * Arizona State University（亚利桑那州立大学） 纠错

Comments Accepted at NeurIPS 2025

PROFIT: A Specialized Optimizer for Deep Fine Tuning

Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen

机构 * GM Cruise LLC 纠错

Comments technical report, 23 pages, NeurIPS 2025 poster

Representative Social Choice: From Learning Theory to AI Alignment

Tianyi Qiu

机构 * Peking University（北京大学） ； UC Berkeley（加州大学伯克利分校） ； Center for Human-Compatible AI（人类兼容人工智能中心） 纠错

Comments Journal of Artificial Intelligence Research, in press. Best Paper at NeurIPS 2024 Pluralistic Alignment Workshop

EF-3DGS: Event-Aided Free-Trajectory 3D Gaussian Splatting

Bohao Liao, Wei Zhai, Zengyu Wan, Zhixin Cheng, Wenfei Yang, Tianzhu Zhang, Yang Cao, Zheng-Jun Zha

机构 * University of Science and Technology of China（中国科学技术大学） 纠错

Comments Accepted to NeurIPS 2025,Project Page: https://lbh666.github.io/ef-3dgs/

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning

Zhishuai Liu, Pan Xu

Comments 46 pages, 3 figures, 1 table. Published in Proc. of the 38th Conference on Advances in Neural Information Processing Systems (NeurIPS 2024)

Journal ref Advances in Neural Information Processing Systems, volume 37, pages 86602-86654, 2024

Accelerated Rates between Stochastic and Adversarial Online Convex Optimization

Sarah Sachs, Hedi Hadiji, Tim van Erven, Cristobal Guzman

Comments There is an unfixable mistake in the proof of Lemma 15, as kindly brought to our attention by Peng Zhao. The mistake is not present in the earlier NeurIPS 2022 conference version of the paper, which does not include this result