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Calibration tests beyond classification

Calibration tests beyond classification

21 October 2022
David Widmann
Fredrik Lindsten
Dave Zachariah
ArXivPDFHTML

Papers citing "Calibration tests beyond classification"

13 / 13 papers shown
Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review
Toghrul Abbasli
Kentaroh Toyoda
Yuan Wang
Leon Witt
Muhammad Asif Ali
Yukai Miao
Dan Li
Qingsong Wei
UQCV
85
0
0
25 Apr 2025
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models
Liangjie Huang
Dawei Li
Huan Liu
Lu Cheng
LRM
34
0
0
03 Apr 2025
Optimizing Estimators of Squared Calibration Errors in Classification
Optimizing Estimators of Squared Calibration Errors in Classification
Sebastian G. Gruber
Francis Bach
69
1
0
24 Feb 2025
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Calibrated Probabilistic Forecasts for Arbitrary Sequences
Charles Marx
Volodymyr Kuleshov
Stefano Ermon
AI4TS
36
1
0
27 Sep 2024
PAC-Bayes Analysis for Recalibration in Classification
PAC-Bayes Analysis for Recalibration in Classification
Masahiro Fujisawa
Futoshi Futami
25
0
0
10 Jun 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
63
1
0
06 Jun 2024
Information-theoretic Generalization Analysis for Expected Calibration
  Error
Information-theoretic Generalization Analysis for Expected Calibration Error
Futoshi Futami
Masahiro Fujisawa
UQCV
CML
28
1
0
24 May 2024
Calibration by Distribution Matching: Trainable Kernel Calibration
  Metrics
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
Charles Marx
Sofian Zalouk
Stefano Ermon
14
6
0
31 Oct 2023
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Jarosław Błasiok
Preetum Nakkiran
UQCV
35
20
0
21 Sep 2023
Improving Neural Additive Models with Bayesian Principles
Improving Neural Additive Models with Bayesian Principles
Kouroche Bouchiat
Alexander Immer
Hugo Yèche
Gunnar Rätsch
Vincent Fortuin
BDL
MedIm
19
6
0
26 May 2023
Extracting Victim Counts from Text
Extracting Victim Counts from Text
Mian Zhong
S. Dhuliawala
Niklas Stoehr
9
5
0
23 Feb 2023
Better Uncertainty Calibration via Proper Scores for Classification and
  Beyond
Better Uncertainty Calibration via Proper Scores for Classification and Beyond
Sebastian G. Gruber
Florian Buettner
UQCV
6
45
0
15 Mar 2022
Classifier Calibration: A survey on how to assess and improve predicted
  class probabilities
Classifier Calibration: A survey on how to assess and improve predicted class probabilities
Telmo de Menezes e Silva Filho
Hao Song
Miquel Perelló Nieto
Raúl Santos-Rodríguez
Meelis Kull
Peter A. Flach
18
76
0
20 Dec 2021
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