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Backtracking Counterfactuals

Backtracking Counterfactuals

1 November 2022
Julius von Kügelgen
Abdirisak Mohamed
Sander Beckers
    LRM
ArXivPDFHTML

Papers citing "Backtracking Counterfactuals"

12 / 12 papers shown
Title
Root Cause Analysis of Outliers with Missing Structural Knowledge
Root Cause Analysis of Outliers with Missing Structural Knowledge
Nastaran Okati
Sergio Hernan Garrido Mejia
William Orchard
Patrick Blöbaum
Dominik Janzing
25
2
0
07 Jun 2024
Benchmarking Counterfactual Image Generation
Benchmarking Counterfactual Image Generation
Thomas Melistas
Nikos Spyrou
Nefeli Gkouti
Pedro Sanchez
Athanasios Vlontzos
Yannis Panagakis
G. Papanastasiou
Sotirios A. Tsaftaris
EGVM
CML
46
7
0
29 Mar 2024
Natural Counterfactuals With Necessary Backtracking
Natural Counterfactuals With Necessary Backtracking
Guang-Yuan Hao
Jiji Zhang
Erdun Gao
Hao Wang
Anton van den Hengel
31
0
0
02 Feb 2024
Targeted Reduction of Causal Models
Targeted Reduction of Causal Models
Armin Kekić
Bernhard Schölkopf
M. Besserve
CML
52
9
0
30 Nov 2023
Deep Backtracking Counterfactuals for Causally Compliant Explanations
Deep Backtracking Counterfactuals for Causally Compliant Explanations
Klaus-Rudolf Kladny
Julius von Kügelgen
Bernhard Schölkopf
Michael Muehlebach
BDL
29
4
0
11 Oct 2023
Beyond Single-Feature Importance with ICECREAM
Beyond Single-Feature Importance with ICECREAM
M.-J. Oesterle
Patrick Blobaum
Atalanti A. Mastakouri
Elke Kirschbaum
CML
35
1
0
19 Jul 2023
Causal normalizing flows: from theory to practice
Causal normalizing flows: from theory to practice
Adrián Javaloy
Pablo Sánchez-Martín
Isabel Valera
TPM
CML
AI4CE
28
20
0
08 Jun 2023
Counterfactual Formulation of Patient-Specific Root Causes of Disease
Counterfactual Formulation of Patient-Specific Root Causes of Disease
Eric V. Strobl
CML
OOD
25
7
0
27 May 2023
A Measure-Theoretic Axiomatisation of Causality
A Measure-Theoretic Axiomatisation of Causality
Junhyung Park
Simon Buchholz
Bernhard Schölkopf
Krikamol Muandet
38
5
0
19 May 2023
Learning Counterfactually Invariant Predictors
Learning Counterfactually Invariant Predictors
Francesco Quinzan
Cecilia Casolo
Krikamol Muandet
Yucen Luo
Niki Kilbertus
36
8
0
20 Jul 2022
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise
  Model
Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model
Eric V. Strobl
Thomas A. Lasko
CML
53
33
0
25 May 2022
On the Fairness of Causal Algorithmic Recourse
On the Fairness of Causal Algorithmic Recourse
Julius von Kügelgen
Amir-Hossein Karimi
Umang Bhatt
Isabel Valera
Adrian Weller
Bernhard Schölkopf
FaML
80
82
0
13 Oct 2020
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