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Conformal Predictions for Probabilistically Robust Scalable Machine
  Learning Classification

Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification

15 March 2024
Alberto Carlevaro
Teodoro Alamo
Fabrizio Dabbene
Maurizio Mongelli
ArXiv (abs)PDFHTML

Papers citing "Conformal Predictions for Probabilistically Robust Scalable Machine Learning Classification"

12 / 12 papers shown
Title
Second-Order Uncertainty Quantification: A Distance-Based Approach
Second-Order Uncertainty Quantification: A Distance-Based Approach
Yusuf Sale
Viktor Bengs
Michele Caprio
Eyke Hüllermeier
PERUQCVUD
50
23
0
02 Dec 2023
Probabilistic Safety Regions Via Finite Families of Scalable Classifiers
Probabilistic Safety Regions Via Finite Families of Scalable Classifiers
Alberto Carlevaro
Teodoro Alamo
Fabrizio Dabbene
Maurizio Mongelli
69
2
0
08 Sep 2023
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?
Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?
Yusuf Sale
Michele Caprio
Eyke Hüllermeier
UD
49
28
0
16 Jun 2023
Conformal Prediction for Trustworthy Detection of Railway Signals
Conformal Prediction for Trustworthy Detection of Railway Signals
Léo Andéol
Thomas Fel
F. D. Grancey
Luca Mossina
90
6
0
26 Jan 2023
PAC Prediction Sets for Meta-Learning
PAC Prediction Sets for Meta-Learning
Sangdon Park
Yan Sun
Insup Lee
Osbert Bastani
89
16
0
06 Jul 2022
Set-valued classification -- overview via a unified framework
Set-valued classification -- overview via a unified framework
Evgenii Chzhen
Christophe Denis
Mohamed Hebiri
Titouan Lorieul
161
34
0
24 Feb 2021
Uncertainty Sets for Image Classifiers using Conformal Prediction
Uncertainty Sets for Image Classifiers using Conformal Prediction
Anastasios Nikolas Angelopoulos
Stephen Bates
Jitendra Malik
Michael I. Jordan
UQCV
207
338
0
29 Sep 2020
Conformal Prediction: a Unified Review of Theory and New Challenges
Conformal Prediction: a Unified Review of Theory and New Challenges
Matteo Fontana
Gianluca Zeni
S. Vantini
181
130
0
16 May 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
Sangdon Park
Osbert Bastani
Nikolai Matni
Insup Lee
UQCV
231
70
0
31 Dec 2019
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction
  to Concepts and Methods
Aleatoric and Epistemic Uncertainty in Machine Learning: An Introduction to Concepts and Methods
Eyke Hüllermeier
Willem Waegeman
PERUD
244
1,421
0
21 Oct 2019
Conditional validity of inductive conformal predictors
Conditional validity of inductive conformal predictors
V. Vovk
233
418
0
12 Sep 2012
A tutorial on conformal prediction
A tutorial on conformal prediction
Glenn Shafer
V. Vovk
454
1,148
0
21 Jun 2007
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