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On the Consistency of AUC Pairwise Optimization

On the Consistency of AUC Pairwise Optimization

3 August 2012
Wei Gao
Zhi-Hua Zhou
ArXivPDFHTML

Papers citing "On the Consistency of AUC Pairwise Optimization"

22 / 22 papers shown
Title
Improved Diversity-Promoting Collaborative Metric Learning for
  Recommendation
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
$H$-Consistency Guarantees for Regression
HHH-Consistency Guarantees for Regression
Anqi Mao
M. Mohri
Yutao Zhong
31
9
0
28 Mar 2024
AUC Optimization from Multiple Unlabeled Datasets
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie
Yu Liu
Ming Li
67
0
0
25 May 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling
Dixian Zhu
Bokun Wang
Zhi Chen
Yaxing Wang
Milan Sonka
Xiaodong Wu
Tianbao Yang
16
3
0
14 May 2023
A Statistical Learning Take on the Concordance Index for Survival
  Analysis
A Statistical Learning Take on the Concordance Index for Survival Analysis
Alex Nowak-Vila
K. Elgui
Geneviève Robin
16
1
0
23 Feb 2023
Ranking Differential Privacy
Ranking Differential Privacy
Shi Xu
W. Sun
Guang Cheng
11
1
0
02 Jan 2023
FeDXL: Provable Federated Learning for Deep X-Risk Optimization
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
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization
  with List Stability
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability
Peisong Wen
Qianqian Xu
Zhiyong Yang
Yuan He
Qingming Huang
53
10
0
27 Sep 2022
Path-aware Siamese Graph Neural Network for Link Prediction
Path-aware Siamese Graph Neural Network for Link Prediction
Jingsong Lv
Zhao Li
Hongyang Chen
Yao Qi
Chunqi Wu
29
3
0
10 Aug 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
33
178
0
28 Mar 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic
  Choices
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
Dixian Zhu
Xiaodong Wu
Tianbao Yang
28
10
0
27 Mar 2022
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
Dixian Zhu
Gang Li
Bokun Wang
Xiaodong Wu
Tianbao Yang
17
28
0
01 Mar 2022
Pairwise Learning for Neural Link Prediction
Pairwise Learning for Neural Link Prediction
Zhitao Wang
Yong Zhou
L. Jeff Hong
Yuanhang Zou
Hanjing Su
Shouzhi Chen
12
26
0
06 Dec 2021
Learning with Multiclass AUC: Theory and Algorithms
Learning with Multiclass AUC: Theory and Algorithms
Zhiyong Yang
Qianqian Xu
Shilong Bao
Xiaochun Cao
Qingming Huang
33
66
0
28 Jul 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma
Matthew B. Blaschko
18
34
0
10 May 2021
Online AUC Optimization for Sparse High-Dimensional Datasets
Online AUC Optimization for Sparse High-Dimensional Datasets
Baojian Zhou
Yiming Ying
Steven Skiena
25
5
0
23 Sep 2020
Calibrated Surrogate Losses for Adversarially Robust Classification
Calibrated Surrogate Losses for Adversarially Robust Classification
Han Bao
Clayton Scott
Masashi Sugiyama
19
45
0
28 May 2020
Quadruply Stochastic Gradient Method for Large Scale Nonlinear
  Semi-Supervised Ordinal Regression AUC Optimization
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization
Wanli Shi
Bin Gu
Xinag Li
Heng-Chiao Huang
29
13
0
24 Dec 2019
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised
  AUC Optimization
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization
Wanli Shi
Bin Gu
Xiang Li
Xiang Geng
Heng-Chiao Huang
26
15
0
29 Jul 2019
Learning Surrogate Losses
Learning Surrogate Losses
Josif Grabocka
Randolf Scholz
Lars Schmidt-Thieme
22
41
0
24 May 2019
MBA: Mini-Batch AUC Optimization
MBA: Mini-Batch AUC Optimization
San Gultekin
A. Saha
A. Ratnaparkhi
John Paisley
25
22
0
29 May 2018
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning
Semi-Supervised AUC Optimization based on Positive-Unlabeled Learning
Tomoya Sakai
Gang Niu
Masashi Sugiyama
14
60
0
04 May 2017
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