Stochastic AUC Maximization with Deep Neural Networks

28 August 2019

Papers citing "Stochastic AUC Maximization with Deep Neural Networks"

29 / 29 papers shown

Title
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 50 2 0 28 Sep 2024
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum H. Cai Sulaiman A. Alghunaim Ali H.Sayed 52 1 0 18 Jun 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
AUC Optimization from Multiple Unlabeled Datasets Zheng Xie Yu Liu Ming Li 73 1 0 25 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 24 3 0 14 May 2023
A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss Kyle R. Rust T. Hocking 24 1 0 21 Feb 2023
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems Hongchang Gao 24 16 0 06 Dec 2022
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization Le‐Yu Chen Haishan Ye Luo Luo 68 5 0 05 Dec 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming Parvin Nazari Ahmad Mousavi Davoud Ataee Tarzanagh George Michailidis 31 4 0 08 Nov 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 40 0 0 12 Oct 2022
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization Hanseul Cho Chulhee Yun 32 9 0 12 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
Stability and Generalization for Markov Chain Stochastic Gradient Methods Puyu Wang Yunwen Lei Yiming Ying Ding-Xuan Zhou 24 18 0 16 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence Zhenhuan Yang Yan Lok Ko Kush R. Varshney Yiming Ying FaML 28 17 0 22 Aug 2022
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks Zhuqing Liu Xin Zhang Prashant Khanduri Songtao Lu Jia Liu 35 11 0 27 Jul 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 44 179 0 28 Mar 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee Dixian Zhu Gang Li Bokun Wang Xiaodong Wu Tianbao Yang 33 29 0 01 Mar 2022
Differentially Private SGDA for Minimax Problems Zhenhuan Yang Shu Hu Yunwen Lei Kush R. Varshney Siwei Lyu Yiming Ying 36 19 0 22 Jan 2022
Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities Tianbao Yang 30 3 0 01 Nov 2021
Learning with Multiclass AUC: Theory and Algorithms Zhiyong Yang Qianqian Xu Shilong Bao Xiaochun Cao Qingming Huang 36 67 0 28 Jul 2021
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence Qi Qi Youzhi Luo Zhao Xu Shuiwang Ji Tianbao Yang 13 58 0 18 Apr 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity Zhuoning Yuan Zhishuai Guo Yi Tian Xu Yiming Ying Tianbao Yang FedML 21 35 0 09 Feb 2021
Eating Garlic Prevents COVID-19 Infection: Detecting Misinformation on the Arabic Content of Twitter S. Alqurashi Btool Hamoui Abdulaziz S. Alashaikh Ahmad Alhindi Eisa A. Alanazi 44 36 0 09 Jan 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 21 118 0 06 Dec 2020
An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives Qi Qi Zhishuai Guo Yi Tian Xu Rong Jin Tianbao Yang 33 44 0 17 Jun 2020
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks Zhishuai Guo Mingrui Liu Zhuoning Yuan Li Shen Wei Liu Tianbao Yang 33 42 0 05 May 2020
Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets Mingrui Liu Youssef Mroueh Jerret Ross Wei Zhang Xiaodong Cui Payel Das Tianbao Yang ODL 38 63 0 26 Dec 2019
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016