Conformal Decision Rules

Husam Abdelqader; Evgueni Smirnov; Marc Pont; Marciano Geijselaers; U Johansson; H Bostrom; KA Nguyen; Z Luo; L Carlsson

Conformal Decision Rules

Husam Abdelqader^*
, Evgueni Smirnov
, Marc Pont
, Marciano Geijselaers
, U Johansson
, H Bostrom
, KA Nguyen
, Z Luo
, L Carlsson

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

This paper proposes conformal decision rules. They are defined as decision rules with their own conformal predictors. Given a test instance, conformal decision rules provide a point prediction, an explanation, a p-value for that prediction plus a prediction set.

Original language	English
Title of host publication	CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS, VOL 179
Publisher	JMLR - Journal of Machine Learning Research
Number of pages	3
Volume	179
Publication status	Published - 2022
Event	11th Symposium on Conformal and Probabilistic Prediction with Applications - Brighton, United Kingdom Duration: 24 Aug 2022 → 26 Aug 2022 https://cml.rhul.ac.uk/copa2022/

Publication series

Series	Proceedings of Machine Learning Research
Volume	179
ISSN	2640-3498

Conference

Conference	11th Symposium on Conformal and Probabilistic Prediction with Applications
Abbreviated title	COPA 2022
Country/Territory	United Kingdom
City	Brighton
Period	24/08/22 → 26/08/22
Internet address	https://cml.rhul.ac.uk/copa2022/

Keywords

Classification
Inductive Conformal Prediction
Rule Learning

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Cite this

@inproceedings{a52688d281f74cd19dce8a6deab47d59,

title = "Conformal Decision Rules",

abstract = "This paper proposes conformal decision rules. They are defined as decision rules with their own conformal predictors. Given a test instance, conformal decision rules provide a point prediction, an explanation, a p-value for that prediction plus a prediction set.",

keywords = "Classification, Inductive Conformal Prediction, Rule Learning",

author = "Husam Abdelqader and Evgueni Smirnov and Marc Pont and Marciano Geijselaers and U Johansson and H Bostrom and KA Nguyen and Z Luo and L Carlsson",

year = "2022",

language = "English",

volume = "179",

series = "Proceedings of Machine Learning Research",

publisher = "JMLR - Journal of Machine Learning Research ",

booktitle = "CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS, VOL 179",

address = "United States",

note = "11th Symposium on Conformal and Probabilistic Prediction with Applications, COPA 2022 ; Conference date: 24-08-2022 Through 26-08-2022",

url = "https://cml.rhul.ac.uk/copa2022/",

}

Abdelqader, H, Smirnov, E, Pont, M, Geijselaers, M, Johansson, U, Bostrom, H, Nguyen, KA, Luo, Z & Carlsson, L 2022, Conformal Decision Rules. in CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS, VOL 179. vol. 179, JMLR - Journal of Machine Learning Research , Proceedings of Machine Learning Research, vol. 179, 11th Symposium on Conformal and Probabilistic Prediction with Applications, Brighton, United Kingdom, 24/08/22. <https://proceedings.mlr.press/v179/abdelqader22a/abdelqader22a.pdf>

Conformal Decision Rules. / Abdelqader, Husam; Smirnov, Evgueni; Pont, Marc et al.
CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS, VOL 179. Vol. 179 JMLR - Journal of Machine Learning Research , 2022. (Proceedings of Machine Learning Research, Vol. 179).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Conformal Decision Rules

AU - Abdelqader, Husam

AU - Smirnov, Evgueni

AU - Pont, Marc

AU - Geijselaers, Marciano

AU - Johansson, U

AU - Bostrom, H

AU - Nguyen, KA

AU - Luo, Z

AU - Carlsson, L

PY - 2022

Y1 - 2022

N2 - This paper proposes conformal decision rules. They are defined as decision rules with their own conformal predictors. Given a test instance, conformal decision rules provide a point prediction, an explanation, a p-value for that prediction plus a prediction set.

AB - This paper proposes conformal decision rules. They are defined as decision rules with their own conformal predictors. Given a test instance, conformal decision rules provide a point prediction, an explanation, a p-value for that prediction plus a prediction set.

KW - Classification

KW - Inductive Conformal Prediction

KW - Rule Learning

M3 - Conference article in proceeding

VL - 179

T3 - Proceedings of Machine Learning Research

BT - CONFORMAL AND PROBABILISTIC PREDICTION WITH APPLICATIONS, VOL 179

PB - JMLR - Journal of Machine Learning Research

T2 - 11th Symposium on Conformal and Probabilistic Prediction with Applications

Y2 - 24 August 2022 through 26 August 2022

ER -

Conformal Decision Rules

Abstract

Publication series

Conference

Keywords

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