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Calibrated Surrogate Maximization of Linear-fractional Utility in Binary
  Classification
v1v2 (latest)

Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification

29 May 2019
Han Bao
Masashi Sugiyama
ArXiv (abs)PDFHTML

Papers citing "Calibrated Surrogate Maximization of Linear-fractional Utility in Binary Classification"

5 / 5 papers shown
Title
Noisy Image Segmentation With Soft-Dice
Noisy Image Segmentation With Soft-Dice
M. Nordström
Henrik Hult
A. Maki
F. Löfman
75
2
0
03 Apr 2023
RankSEG: A Consistent Ranking-based Framework for Segmentation
RankSEG: A Consistent Ranking-based Framework for Segmentation
Ben Dai
Chunlin Li
78
1
0
27 Jun 2022
Implicit Rate-Constrained Optimization of Non-decomposable Objectives
Implicit Rate-Constrained Optimization of Non-decomposable Objectives
Abhishek Kumar
Harikrishna Narasimhan
Andrew Cotter
92
10
0
23 Jul 2021
Classification with Rejection Based on Cost-sensitive Classification
Classification with Rejection Based on Cost-sensitive Classification
Nontawat Charoenphakdee
Zhenghang Cui
Yivan Zhang
Masashi Sugiyama
174
67
0
22 Oct 2020
Calibrated Surrogate Losses for Adversarially Robust Classification
Calibrated Surrogate Losses for Adversarially Robust Classification
Han Bao
Clayton Scott
Masashi Sugiyama
78
46
0
28 May 2020
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