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Binary Classifier Calibration: Non-parametric approach

Binary Classifier Calibration: Non-parametric approach

14 January 2014
Mahdi Pakdaman Naeini
G. Cooper
Milos Hauskrecht
ArXiv (abs)PDFHTML

Papers citing "Binary Classifier Calibration: Non-parametric approach"

13 / 13 papers shown
Title
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
Siguang Huang
Yunli Wang
Lili Mou
Huayue Zhang
Ziru Xu
Chuan Yu
Bo Zheng
197
15
0
13 Mar 2025
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
137
0
0
12 Oct 2024
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring
  Rules, and Calibration
Evaluating Posterior Probabilities: Decision Theory, Proper Scoring Rules, and Calibration
Luciana Ferrer
Daniel Ramos
UQCV
66
4
0
05 Aug 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
M. Chidambaram
Rong Ge
141
2
0
06 Jun 2024
How Flawed Is ECE? An Analysis via Logit Smoothing
How Flawed Is ECE? An Analysis via Logit Smoothing
Muthu Chidambaram
Holden Lee
Colin McSwiggen
Semon Rezchikov
UQCV
62
3
0
15 Feb 2024
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence
  Estimation
Llamas Know What GPTs Don't Show: Surrogate Models for Confidence Estimation
Vaishnavi Shrivastava
Percy Liang
Ananya Kumar
82
32
0
15 Nov 2023
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Jarosław Błasiok
Preetum Nakkiran
UQCV
113
26
0
21 Sep 2023
A Unifying Theory of Distance from Calibration
A Unifying Theory of Distance from Calibration
Jarosław Błasiok
Parikshit Gopalan
Lunjia Hu
Preetum Nakkiran
98
41
0
30 Nov 2022
Analysis and Comparison of Classification Metrics
Analysis and Comparison of Classification Metrics
Luciana Ferrer
109
21
0
12 Sep 2022
Calibrated ensembles can mitigate accuracy tradeoffs under distribution
  shift
Calibrated ensembles can mitigate accuracy tradeoffs under distribution shift
Ananya Kumar
Tengyu Ma
Percy Liang
Aditi Raghunathan
UQCVOODDOOD
104
39
0
18 Jul 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception
Reducing Overconfidence Predictions for Autonomous Driving Perception
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
74
7
0
16 Feb 2022
Verified Uncertainty Calibration
Verified Uncertainty Calibration
Ananya Kumar
Percy Liang
Tengyu Ma
196
360
0
23 Sep 2019
Learning Optimized Risk Scores
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
208
84
0
01 Oct 2016
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