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Implicit Rate-Constrained Optimization of Non-decomposable Objectives
v1v2v3 (latest)

Implicit Rate-Constrained Optimization of Non-decomposable Objectives

International Conference on Machine Learning (ICML), 2021
23 July 2021
Abhishek Kumar
Harikrishna Narasimhan
Andrew Cotter
ArXiv (abs)PDFHTMLGithub (35632★)

Papers citing "Implicit Rate-Constrained Optimization of Non-decomposable Objectives"

10 / 10 papers shown
Title
Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification
Exact Reformulation and Optimization for Direct Metric Optimization in Binary Imbalanced Classification
L. Peng
Yash Travadi
Chuan He
Ying Cui
Ju Sun
113
1
0
21 Jul 2025
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric
  for Recommendation
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
Wentao Shi
Chenxu Wang
Fuli Feng
Yang Zhang
Wenjie Wang
Junkang Wu
Xiangnan He
154
7
0
29 Feb 2024
FERI: A Multitask-based Fairness Achieving Algorithm with Applications
  to Fair Organ Transplantation
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Can Li
Dejian Lai
Xiaoqian Jiang
Kai Zhang
158
5
0
20 Oct 2023
Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics
Cost-Sensitive Self-Training for Optimizing Non-Decomposable MetricsNeural Information Processing Systems (NeurIPS), 2023
Harsh Rangwani
Shrinivas Ramasubramanian
S. Takemori
Kato Takashi
Yuhei Umeda
Venkatesh Babu Radhakrishnan
163
4
0
28 Apr 2023
Asymptotically Unbiased Instance-wise Regularized Partial AUC
  Optimization: Theory and Algorithm
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and AlgorithmNeural Information Processing Systems (NeurIPS), 2022
Huiyang Shao
Qianqian Xu
Zhiyong Yang
Shilong Bao
Qingming Huang
281
6
0
08 Oct 2022
Rank-based Decomposable Losses in Machine Learning: A Survey
Rank-based Decomposable Losses in Machine Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shu Hu
Xin Wang
Siwei Lyu
283
36
0
18 Jul 2022
Optimizing Two-way Partial AUC with an End-to-end Framework
Optimizing Two-way Partial AUC with an End-to-end FrameworkIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhiyong Yang
Qianqian Xu
Shilong Bao
Yuan He
Xiaochun Cao
Qingming Huang
181
25
0
23 Jun 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A SurveyACM Computing Surveys (ACM CSUR), 2022
Tianbao Yang
Yiming Ying
395
247
0
28 Mar 2022
Training Over-parameterized Models with Non-decomposable Objectives
Training Over-parameterized Models with Non-decomposable ObjectivesNeural Information Processing Systems (NeurIPS), 2021
Harikrishna Narasimhan
A. Menon
140
13
0
09 Jul 2021
DeepTopPush: Simple and Scalable Method for Accuracy at the Top
DeepTopPush: Simple and Scalable Method for Accuracy at the Top
V. Mácha
Lukáš Adam
Václav Smídl
210
4
0
22 Jun 2020
1