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1908.10831
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Stochastic AUC Maximization with Deep Neural Networks
International Conference on Learning Representations (ICLR), 2019
28 August 2019
Mingrui Liu
Zhuoning Yuan
Yiming Ying
Tianbao Yang
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Papers citing
"Stochastic AUC Maximization with Deep Neural Networks"
50 / 64 papers shown
Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
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Qianqian Xu
Huiyang Shao
Zhiyong Yang
Shilong Bao
Xiaochun Cao
Qingming Huang
144
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Federated Stochastic Minimax Optimization under Heavy-Tailed Noises
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430
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Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
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Jie Hao
Mingrui Liu
317
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18 Sep 2025
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
Cong Hua
Qianqian Xu
Zhiyong Yang
Zitai Wang
Shilong Bao
Qingming Huang
VLM
323
12
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08 May 2025
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong
Jie Hao
Mingrui Liu
448
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05 Mar 2025
Enhancing Topic Interpretability for Neural Topic Modeling through Topic-wise Contrastive Learning
IEEE International Conference on Data Engineering (ICDE), 2024
Xin Gao
Yang Lin
Ruiqing Li
Yasha Wang
Xu Chu
Xinyu Ma
Hailong Yu
394
5
0
23 Dec 2024
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
Neural Information Processing Systems (NeurIPS), 2024
Boyu Han
Qianqian Xu
Zhiyong Yang
Shilong Bao
Peisong Wen
Yangbangyan Jiang
Qingming Huang
442
20
0
30 Sep 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Neural Information Processing Systems (NeurIPS), 2024
Xiaochuan Gong
Jie Hao
Mingrui Liu
807
7
0
28 Sep 2024
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentum
H. Cai
Sulaiman A. Alghunaim
Ali H.Sayed
444
1
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18 Jun 2024
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
Quanqi Hu
Qi Qi
Zhaosong Lu
Tianbao Yang
509
4
0
28 May 2024
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework
Neural Information Processing Systems (NeurIPS), 2023
Siran Dai
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
389
5
0
06 Nov 2023
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Wei Shen
Minhui Huang
Jiawei Zhang
Cong Shen
FedML
478
5
0
02 Nov 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
Neural Information Processing Systems (NeurIPS), 2023
Xidong Wu
Jianhui Sun
Zhengmian Hu
Aidong Zhang
Heng-Chiao Huang
FedML
354
21
0
05 Oct 2023
Serverless Federated AUPRC Optimization for Multi-Party Collaborative Imbalanced Data Mining
Knowledge Discovery and Data Mining (KDD), 2023
Xidong Wu
Zhengmian Hu
Jian Pei
Heng Huang
243
13
0
06 Aug 2023
Faster Stochastic Algorithms for Minimax Optimization under Polyak--Łojasiewicz Conditions
Neural Information Processing Systems (NeurIPS), 2023
Le‐Yu Chen
Boyuan Yao
Luo Luo
256
20
0
29 Jul 2023
LibAUC: A Deep Learning Library for X-Risk Optimization
Knowledge Discovery and Data Mining (KDD), 2023
Zhuoning Yuan
Dixian Zhu
Zimeng Qiu
Gang Li
Xuanhui Wang
Tianbao Yang
BDL
244
21
0
05 Jun 2023
Does it pay to optimize AUC?
AAAI Conference on Artificial Intelligence (AAAI), 2023
Baojian Zhou
Steven Skiena
216
1
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02 Jun 2023
AUC Optimization from Multiple Unlabeled Datasets
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zheng Xie
Yu Liu
Ming Li
417
2
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25 May 2023
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zheng Xie
Yu Liu
Hao He
Ming Li
Zhi Zhou
NoLa
342
14
0
23 May 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
International Conference on Machine Learning (ICML), 2023
Dixian Zhu
Bokun Wang
Zhi Chen
Yaxing Wang
Milan Sonka
Xiaodong Wu
Tianbao Yang
479
5
0
14 May 2023
Can Decentralized Stochastic Minimax Optimization Algorithms Converge Linearly for Finite-Sum Nonconvex-Nonconcave Problems?
Yihan Zhang
Wenhao Jiang
Feng-Song Zheng
C. C. Tan
Xinghua Shi
Hongchang Gao
174
1
0
24 Apr 2023
Federated Compositional Deep AUC Maximization
Neural Information Processing Systems (NeurIPS), 2023
Xinwen Zhang
Yihang Zhang
Tianbao Yang
Richard Souvenir
Hongchang Gao
FedML
433
13
0
20 Apr 2023
Enhancing Personalized Ranking With Differentiable Group AUC Optimization
Xiao Sun
Bo Zhang
Chenrui Zhang
Han Ren
Mingchen Cai
191
2
0
17 Apr 2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
Computer Vision and Pattern Recognition (CVPR), 2023
Kiarash Mohammadi
He Zhao
Mengyao Zhai
Frederick Tung
319
4
0
31 Mar 2023
A Log-linear Gradient Descent Algorithm for Unbalanced Binary Classification using the All Pairs Squared Hinge Loss
Kyle R. Rust
T. Hocking
149
2
0
21 Feb 2023
Efficient Fraud Detection Using Deep Boosting Decision Trees
Decision Support Systems (DSS), 2023
Bi-Cun Xu
Yaonan Wang
Xiuwu Liao
Kaidong Wang
184
50
0
12 Feb 2023
AUC Maximization for Low-Resource Named Entity Recognition
AAAI Conference on Artificial Intelligence (AAAI), 2022
Ngoc Dang Nguyen
Wei Tan
Wray Buntine
Richard Beare
Changyou Chen
Lan Du
432
12
0
09 Dec 2022
Decentralized Stochastic Gradient Descent Ascent for Finite-Sum Minimax Problems
Hongchang Gao
418
20
0
06 Dec 2022
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Le‐Yu Chen
Haishan Ye
Luo Luo
565
11
0
05 Dec 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
415
5
0
08 Nov 2022
OpenAUC: Towards AUC-Oriented Open-Set Recognition
Neural Information Processing Systems (NeurIPS), 2022
Zitai Wang
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
MQ
411
48
0
22 Oct 2022
Fairness via Adversarial Attribute Neighbourhood Robust Learning
Q. Qi
Shervin Ardeshir
Yi Tian Xu
Tianbao Yang
300
0
0
12 Oct 2022
SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
International Conference on Learning Representations (ICLR), 2022
Hanseul Cho
Chulhee Yun
250
9
0
12 Oct 2022
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm
Neural Information Processing Systems (NeurIPS), 2022
Huiyang Shao
Qianqian Xu
Zhiyong Yang
Shilong Bao
Qingming Huang
411
5
0
08 Oct 2022
SAGDA: Achieving
O
(
ε
−
2
)
\mathcal{O}(ε^{-2})
O
(
ε
−
2
)
Communication Complexity in Federated Min-Max Learning
Haibo Yang
Zhuqing Liu
Xin Zhang
Jia-Wei Liu
FedML
322
0
0
02 Oct 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods
Neural Information Processing Systems (NeurIPS), 2022
Puyu Wang
Yunwen Lei
Yiming Ying
Ding-Xuan Zhou
314
22
0
16 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
AAAI Conference on Artificial Intelligence (AAAI), 2022
Zhenhuan Yang
Yan Lok Ko
Kush R. Varshney
Yiming Ying
FaML
589
22
0
22 Aug 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le‐Yu Chen
Luo Luo
474
11
0
11 Aug 2022
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2022
Zhuqing Liu
Xin Zhang
Prashant Khanduri
Songtao Lu
Jia Liu
339
14
0
27 Jul 2022
Balanced Self-Paced Learning for AUC Maximization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Bin Gu
Chenkang Zhang
Huan Xiong
Heng-Chiao Huang
181
5
0
08 Jul 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems
International Conference on Machine Learning (ICML), 2022
Wen-ming Hou
Qianqian Xu
Zhiyong Yang
Shilong Bao
Yuan He
Qingming Huang
AAML
223
6
0
24 Jun 2022
Optimizing Two-way Partial AUC with an End-to-end Framework
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhiyong Yang
Qianqian Xu
Shilong Bao
Yuan He
Xiaochun Cao
Qingming Huang
301
27
0
23 Jun 2022
Algorithmic Foundations of Empirical X-risk Minimization
Tianbao Yang
604
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01 Jun 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization
Neural Information Processing Systems (NeurIPS), 2022
Quanqi Hu
Yongjian Zhong
Tianbao Yang
433
19
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01 Jun 2022
AUC Maximization in the Era of Big Data and AI: A Survey
ACM Computing Surveys (ACM CSUR), 2022
Tianbao Yang
Yiming Ying
540
284
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28 Mar 2022
When AUC meets DRO: Optimizing Partial AUC for Deep Learning with Non-Convex Convergence Guarantee
International Conference on Machine Learning (ICML), 2022
Dixian Zhu
Gang Li
Bokun Wang
Xiaodong Wu
Tianbao Yang
695
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01 Mar 2022
Differentially Private SGDA for Minimax Problems
Conference on Uncertainty in Artificial Intelligence (UAI), 2022
Zhenhuan Yang
Shu Hu
Yunwen Lei
Kush R. Varshney
Siwei Lyu
Yiming Ying
390
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22 Jan 2022
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
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Yunwen Lei
Puyu Wang
Tianbao Yang
Yiming Ying
259
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23 Nov 2021
Learning Rates for Nonconvex Pairwise Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Shaojie Li
Yong Liu
252
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Deep AUC Maximization for Medical Image Classification: Challenges and Opportunities
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282
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01 Nov 2021
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