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1206.4661
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Predicting accurate probabilities with a ranking loss
18 June 2012
A. Menon
Xiaoqian Jiang
Shankar Vembu
Charles Elkan
L. Ohno-Machado
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Papers citing
"Predicting accurate probabilities with a ranking loss"
27 / 27 papers shown
Title
Confidence-Aware Multi-Field Model Calibration
Yuang Zhao
Chuhan Wu
Qinglin Jia
Hong Zhu
Jia Yan
Libin Zong
Linxuan Zhang
Zhenhua Dong
Muyu Zhang
98
1
0
27 Feb 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic
Aleksandra Korolova
David Kempe
Vatsal Sharan
104
6
0
14 Feb 2024
Perception and Semantic Aware Regularization for Sequential Confidence Calibration
Zhenghua Peng
Yuanmao Luo
Tianshui Chen
Keke Xu
Shuangping Huang
AI4TS
83
2
0
31 May 2023
Sequential Linearithmic Time Optimal Unimodal Fitting When Minimizing Univariate Linear Losses
Kaan Gokcesu
Hakan Gokcesu
99
0
0
04 Apr 2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
Wenbo Hu
Xin Sun
Qiang liu
Wenbo Hu
Shu Wu
126
1
0
23 Mar 2023
Calibrated Regression Against An Adversary Without Regret
Shachi Deshpande
Charles Marx
Volodymyr Kuleshov
185
0
0
23 Feb 2023
Isotonic Recalibration under a Low Signal-to-Noise Ratio
M. Wüthrich
Johanna Fasciati-Ziegel
39
13
0
06 Jan 2023
Optimizing Two-way Partial AUC with an End-to-end Framework
Zhiyong Yang
Qianqian Xu
Shilong Bao
Yuan He
Xiaochun Cao
Qingming Huang
84
21
0
23 Jun 2022
A Log-Linear Time Sequential Optimal Calibration Algorithm for Quantized Isotonic L2 Regression
Kaan Gokcesu
Hakan Gokcesu
112
1
0
01 Jun 2022
Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Yewen Fan
Nian Si
Kun Zhang
26
2
0
19 May 2022
Obtaining Calibrated Probabilities with Personalized Ranking Models
Wonbin Kweon
SeongKu Kang
Hwanjo Yu
FedML
70
15
0
09 Dec 2021
Efficient, Anytime Algorithms for Calibration with Isotonic Regression under Strictly Convex Losses
Kaan Gokcesu
Hakan Gokcesu
48
5
0
31 Oct 2021
An Explainable-AI approach for Diagnosis of COVID-19 using MALDI-ToF Mass Spectrometry
V. Seethi
Z. LaCasse
P. Chivte
Joshua Bland
Shrihari S. Kadkol
E. Gaillard
Pratool Bharti
Hamed Alhoori
31
10
0
28 Sep 2021
Optimally Efficient Sequential Calibration of Binary Classifiers to Minimize Classification Error
Kaan Gokcesu
Hakan Gokcesu
106
18
0
19 Aug 2021
Reusing Combinatorial Structure: Faster Iterative Projections over Submodular Base Polytopes
Jai Moondra
Hassan Mortagy
Swati Gupta
87
4
0
22 Jun 2021
Calibrating sufficiently
Dirk Tasche
UQCV
61
11
0
15 May 2021
On the Inference Calibration of Neural Machine Translation
Shuo Wang
Zhaopeng Tu
Shuming Shi
Yang Liu
113
83
0
03 May 2020
Intelligence, physics and information -- the tradeoff between accuracy and simplicity in machine learning
Tailin Wu
128
1
0
11 Jan 2020
Adversarial Time-to-Event Modeling
Paidamoyo Chapfuwa
Chenyang Tao
Chunyuan Li
C. Page
B. Goldstein
Lawrence Carin
Ricardo Henao
AAML
OOD
CML
102
92
0
09 Apr 2018
Calibration of Machine Learning Classifiers for Probability of Default Modelling
Pedro G. Fonseca
Hugo D. Lopes
25
10
0
24 Oct 2017
Deep Learning for Patient-Specific Kidney Graft Survival Analysis
Margaux Luck
Tristan Sylvain
H. Cardinal
Andrea Lodi
Yoshua Bengio
SyDa
156
116
0
29 May 2017
Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels
Curtis G. Northcutt
Tailin Wu
Isaac L. Chuang
NoLa
112
160
0
04 May 2017
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
208
84
0
01 Oct 2016
Estimating Uncertainty Online Against an Adversary
Volodymyr Kuleshov
Stefano Ermon
OOD
46
7
0
13 Jul 2016
Online Isotonic Regression
W. Kotłowski
Wouter M. Koolen
Alan Malek
89
18
0
14 Mar 2016
Binary Classifier Calibration using an Ensemble of Near Isotonic Regression Models
Mahdi Pakdaman Naeini
G. Cooper
UQCV
MQ
63
44
0
16 Nov 2015
Binary Classifier Calibration: Non-parametric approach
Mahdi Pakdaman Naeini
G. Cooper
Milos Hauskrecht
106
17
0
14 Jan 2014
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