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One-Pass AUC Optimization

7 May 2013

Papers citing "One-Pass AUC Optimization"

50 / 76 papers shown

Title
Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering Yan Zhang Li Deng Lixin Duan Sami Azam 116 0 0 11 Jun 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning Liang Wu Ruixi Hu Yunwen Lei 108 0 0 03 Mar 2025
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation Boyu Han Qianqian Xu Zhiyong Yang Shilong Bao Peisong Wen Yangbangyan Jiang Qingming Huang 199 7 0 30 Sep 2024
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging Hilal AlQuabeh William de Vazelhes Bin Gu 148 1 0 02 Feb 2024
Low-Resource Named Entity Recognition: Can One-vs-All AUC Maximization Help? Ngoc Dang Nguyen Wei Tan Lan Du Wray Buntine Richard Beare Changyou Chen 115 2 0 02 Nov 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou D. Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 141 16 0 28 Oct 2023
Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory Hilal AlQuabeh B. Mukhoty Bin Gu 54 1 0 10 Oct 2023
Ranking with Abstention Anqi Mao M. Mohri Yutao Zhong 88 22 0 05 Jul 2023
Does it pay to optimize AUC? Baojian Zhou Steven Skiena 120 1 0 02 Jun 2023
AUC Optimization from Multiple Unlabeled Datasets Zheng Xie Yu Liu Ming Li 190 2 0 25 May 2023
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach Zheng Xie Yu Liu Hao He Ming Li Zhi Zhou NoLa 106 7 0 23 May 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu Bokun Wang Zhi Chen Yaxing Wang Milan Sonka Xiaodong Wu Tianbao Yang 191 3 0 14 May 2023
Enhancing Personalized Ranking With Differentiable Group AUC Optimization Xiao Sun Bo Zhang Chenrui Zhang Han Ren Mingchen Cai 70 2 0 17 Apr 2023
Domain Knowledge integrated for Blast Furnace Classifier Design Shaohan Chen Di Fan Chuanhou Gao AI4CE 34 0 0 31 Mar 2023
AUC Maximization for Low-Resource Named Entity Recognition Ngoc Dang Nguyen Wei Tan Wray Buntine Richard Beare Changyou Chen Lan Du 171 9 0 09 Dec 2022
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo Rong Jin Jiebo Luo Tianbao Yang FedML 210 9 0 26 Oct 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 106 20 0 16 Sep 2022
Differentially Private Stochastic Gradient Descent with Low-Noise Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou FedML 114 5 0 09 Sep 2022
Optimizing Partial Area Under the Top-k Curve: Theory and Practice Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 121 8 0 03 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 160 21 0 22 Aug 2022
Pairwise Learning via Stagewise Training in Proximal Setting Hilal AlQuabeh Aliakbar Abdurahimov 73 2 0 08 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 130 34 0 18 Jul 2022
Balanced Self-Paced Learning for AUC Maximization Bin Gu Chenkang Zhang Huan Xiong Heng-Chiao Huang 55 5 0 08 Jul 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems Wen-ming Hou Qianqian Xu Zhiyong Yang Shilong Bao Yuan He Qingming Huang AAML 112 6 0 24 Jun 2022
Optimizing Two-way Partial AUC with an End-to-end Framework Zhiyong Yang Qianqian Xu Shilong Bao Yuan He Xiaochun Cao Qingming Huang 134 24 0 23 Jun 2022
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling Shilong Bao Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 110 16 0 23 Jun 2022
Stability and Generalization of Differentially Private Minimax Problems Yilin Kang Yong Liu Jian Li Weiping Wang 175 3 0 11 Apr 2022
AUC Maximization in the Era of Big Data and AI: A Survey Tianbao Yang Yiming Ying 269 213 0 28 Mar 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices Dixian Zhu Xiaodong Wu Tianbao Yang 140 12 0 27 Mar 2022
Differentially Private SGDA for Minimax Problems Zhenhuan Yang Shu Hu Yunwen Lei Kush R. Varshney Siwei Lyu Yiming Ying 179 22 0 22 Jan 2022
Evolutionary Multitasking AUC Optimization Chao Wang K. Wu Jing Liu 75 7 0 04 Jan 2022
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning Zhenhuan Yang Yunwen Lei Puyu Wang Tianbao Yang Yiming Ying 96 26 0 23 Nov 2021
Learning Rates for Nonconvex Pairwise Learning Shaojie Li Yong Liu 110 2 0 09 Nov 2021
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 136 5 0 01 Nov 2021
Estimating the Arc Length of the Optimal ROC Curve and Lower Bounding the Maximal AUC Song Liu 51 0 0 18 Oct 2021
Learning with Multiclass AUC: Theory and Algorithms Zhiyong Yang Qianqian Xu Shilong Bao Xiaochun Cao Qingming Huang 226 75 0 28 Jul 2021
Momentum Accelerates the Convergence of Stochastic AUPRC Maximization Guanghui Wang Minghao Yang Lijun Zhang Tianbao Yang 100 22 0 02 Jul 2021
Stability and Generalization of Stochastic Gradient Methods for Minimax Problems Yunwen Lei Zhenhuan Yang Tianbao Yang Yiming Ying 135 50 0 08 May 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 122 63 0 18 Apr 2021
Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes Sara Sangalli Ertunc Erdil A. Hoetker O. Donati E. Konukoglu AI4CE 138 29 0 21 Feb 2021
Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Zhuoning Yuan Yan Yan Milan Sonka Tianbao Yang AI4TS MedIm OOD 171 125 0 06 Dec 2020
Stochastic Hard Thresholding Algorithms for AUC Maximization Zhenhuan Yang Baojian Zhou Yunwen Lei Yiming Ying 92 3 0 04 Nov 2020
Online AUC Optimization for Sparse High-Dimensional Datasets Baojian Zhou Yiming Ying Steven Skiena 103 5 0 23 Sep 2020
Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions Vladimir Golkov Alexander Becker Daniel T. Plop Daniel Čuturilo Neda Davoudi Jeffrey L. Mendenhall Rocco Moretti J. Meiler Zorah Lähner OOD 60 4 0 25 Jun 2020
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent Yunwen Lei Yiming Ying MLT 132 136 0 15 Jun 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo Mingrui Liu Zhuoning Yuan Li Shen Wei Liu Tianbao Yang 134 42 0 05 May 2020
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction Zhiyong Yang Qianqian Xu Xiaochun Cao Qingming Huang 70 13 0 29 Apr 2020
Weakly Supervised Learning Meets Ride-Sharing User Experience Enhancement Lan-Zhe Guo Feng Kuang Zhang-Xun Liu Yu-Feng Li Nan Ma X. Qie NoLa 72 3 0 19 Jan 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization Wanli Shi Bin Gu Xinag Li Heng-Chiao Huang 158 13 0 24 Dec 2019
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation Haoyu Yang Wen Chen P. Pathak Frank Gennari Ya-Chieh Lai Bei Yu 17 9 0 12 Dec 2019