Momentum Accelerates the Convergence of Stochastic AUPRC Maximization

Momentum Accelerates the Convergence of Stochastic AUPRC Maximization

2 July 2021

Papers citing "Momentum Accelerates the Convergence of Stochastic AUPRC Maximization"

16 / 16 papers shown

Title
ADMM for Structured Fractional Minimization Ganzhao Yuan 18 0 0 12 Nov 2024
Federated Conditional Stochastic Optimization Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 25 4 0 04 Oct 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining Xidong Wu Zhengmian Hu Jian Pei Heng Huang 27 12 0 06 Aug 2023
LibAUC: A Deep Learning Library for X-Risk Optimization Zhuoning Yuan Dixian Zhu Zimeng Qiu Gang Li Xuanhui Wang Tianbao Yang BDL 32 16 0 05 Jun 2023
Debiasing Conditional Stochastic Optimization Lie He S. Kasiviswanathan CML BDL 33 4 0 20 Apr 2023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization Zhishuai Guo R. L. Jin Jiebo Luo Tianbao Yang FedML 40 8 0 26 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning Q. Qi Shervin Ardeshir Yi Tian Xu Tianbao Yang 35 0 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 16 4 0 08 Oct 2022
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability Peisong Wen Qianqian Xu Zhiyong Yang Yuan He Qingming Huang 29 10 0 27 Sep 2022
Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization Wei Jiang Gang Li Yibo Wang Lijun Zhang Tianbao Yang 25 16 0 18 Jul 2022
Algorithmic Foundations of Empirical X-risk Minimization Tianbao Yang 28 5 0 01 Jun 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices Dixian Zhu Xiaodong Wu Tianbao Yang 12 10 0 27 Mar 2022
Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications Bokun Wang Tianbao Yang 31 31 0 24 Feb 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization Tesi Xiao Krishnakumar Balasubramanian Saeed Ghadimi 6 5 0 09 Feb 2022
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 44 81 0 25 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 31 162 0 23 Jul 2020