When AUC meets DRO: Optimizing Partial AUC for Deep Learning with
Non-Convex Convergence Guarantee

When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee

1 March 2022

Gang Li

Papers citing "When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee"

19 / 19 papers shown

Title
Nested Stochastic Gradient Descent for (Generalized) Sinkhorn Distance-Regularized Distributionally Robust Optimization Yuqing Yang Yi Zhou Zhaosong Lu 49 0 0 29 Mar 2025
Communication-Efficient Federated Group Distributionally Robust Optimization Zhishuai Guo Tianbao Yang FedML 33 0 0 08 Oct 2024
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation Shilong Bao Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 45 5 0 02 Sep 2024
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Quanqi Hu Qi Qi Zhaosong Lu Tianbao Yang 39 2 0 28 May 2024
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation Wentao Shi Chenxu Wang Fuli Feng Yang Zhang Wenjie Wang Junkang Wu Xiangnan He 38 1 0 29 Feb 2024
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework Siran Dai Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 25 1 0 06 Nov 2023
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization Quanqi Hu Dixian Zhu Tianbao Yang 35 8 0 05 Oct 2023
LibAUC: A Deep Learning Library for X-Risk Optimization Zhuoning Yuan Dixian Zhu Zimeng Qiu Gang Li Xuanhui Wang Tianbao Yang BDL 43 16 0 05 Jun 2023
AUC Optimization from Multiple Unlabeled Datasets Zheng Xie Yu Liu Ming Li 67 0 0 25 May 2023
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach Zheng Xie Yu Liu Hao He Ming Li Zhi-Hua Zhou NoLa 24 4 0 23 May 2023
On the Theories Behind Hard Negative Sampling for Recommendation Wentao Shi Jiawei Chen Fuli Feng Jizhi Zhang Junkang Wu Chongming Gao Xiangnan He BDL 23 34 0 07 Feb 2023
Distributionally Robust Learning with Weakly Convex Losses: Convergence Rates and Finite-Sample Guarantees Landi Zhu Mert Gurbuzbalaban A. Ruszczynski 29 7 0 16 Jan 2023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 47 8 0 26 Oct 2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm Huiyang Shao Qianqian Xu Zhiyong Yang Shilong Bao Qingming Huang 21 4 0 08 Oct 2022
Algorithmic Foundations of Empirical X-risk Minimization Tianbao Yang 35 5 0 01 Jun 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization Quanqi Hu Yongjian Zhong Tianbao Yang 25 16 0 01 Jun 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 33 179 0 28 Mar 2022
Large-scale Optimization of Partial AUC in a Range of False Positive Rates Yao Yao Qihang Lin Tianbao Yang 30 16 0 03 Mar 2022
On the Consistency of AUC Pairwise Optimization Wei Gao Zhi-Hua Zhou 69 123 0 03 Aug 2012