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AUC Maximization in the Era of Big Data and AI: A Survey

AUC Maximization in the Era of Big Data and AI: A Survey

28 March 2022
Tianbao Yang
Yiming Ying
ArXivPDFHTML

Papers citing "AUC Maximization in the Era of Big Data and AI: A Survey"

13 / 63 papers shown
Title
Asymptotically Unbiased Instance-wise Regularized Partial AUC
  Optimization: Theory and Algorithm
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
The Minority Matters: A Diversity-Promoting Collaborative Metric
  Learning Algorithm
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm
Shilong Bao
Qianqian Xu
Zhiyong Yang
Yuan He
Xiaochun Cao
Qingming Huang
22
8
0
30 Sep 2022
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
Minimax AUC Fairness: Efficient Algorithm with Provable Convergence
Zhenhuan Yang
Yan Lok Ko
Kush R. Varshney
Yiming Ying
FaML
17
16
0
22 Aug 2022
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization
Le‐Yu Chen
Luo Luo
18
7
0
11 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A Survey
Shu Hu
Xin Wang
Siwei Lyu
21
32
0
18 Jul 2022
Multi-block Min-max Bilevel Optimization with Applications in Multi-task
  Deep AUC Maximization
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
Large-scale Optimization of Partial AUC in a Range of False Positive
  Rates
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao
Qihang Lin
Tianbao Yang
8
15
0
03 Mar 2022
Performance or Trust? Why Not Both. Deep AUC Maximization with
  Self-Supervised Learning for COVID-19 Chest X-ray Classifications
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications
Siyuan He
Pengcheng Xi
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
OOD
18
6
0
14 Dec 2021
Using StyleGAN for Visual Interpretability of Deep Learning Models on
  Medical Images
Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images
K. Schutte
O. Moindrot
P. Hérent
Jean-Baptiste Schiratti
S. Jégou
FAtt
MedIm
29
60
0
19 Jan 2021
Smart Data driven Decision Trees Ensemble Methodology for Imbalanced Big
  Data
Smart Data driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Diego García-Gil
S. García
N. Xiong
Francisco Herrera
6
1
0
16 Jan 2020
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
162
1,766
0
02 Mar 2017
On the Consistency of AUC Pairwise Optimization
On the Consistency of AUC Pairwise Optimization
Wei Gao
Zhi-Hua Zhou
61
123
0
03 Aug 2012
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