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Causal Dependence Plots
v1v2 (latest)

Causal Dependence Plots

7 March 2023
Joshua R. Loftus
Lucius E.J. Bynum
Sakina Hansen
    CML
ArXiv (abs)PDFHTML

Papers citing "Causal Dependence Plots"

15 / 15 papers shown
Title
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
158
16
0
10 Jan 2025
Counterfactuals for the Future
Counterfactuals for the Future
Lucius E.J. Bynum
Joshua R. Loftus
Julia Stoyanovich
60
10
0
07 Dec 2022
DoWhy-GCM: An extension of DoWhy for causal inference in graphical
  causal models
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
Patrick Blobaum
P. Götz
Kailash Budhathoki
Atalanti A. Mastakouri
Dominik Janzing
64
57
0
14 Jun 2022
Counterfactual Shapley Additive Explanations
Counterfactual Shapley Additive Explanations
Emanuele Albini
Jason Long
Danial Dervovic
Daniele Magazzeni
80
50
0
27 Oct 2021
Rational Shapley Values
Rational Shapley Values
David S. Watson
67
20
0
18 Jun 2021
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual
  Predictions of Complex Models
Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models
Tom Heskes
E. Sijben
I. G. Bucur
Tom Claassen
FAttTDI
111
154
0
03 Nov 2020
Survey on Causal-based Machine Learning Fairness Notions
Survey on Causal-based Machine Learning Fairness Notions
K. Makhlouf
Sami Zhioua
C. Palamidessi
FaML
93
85
0
19 Oct 2020
Conformal Inference of Counterfactuals and Individual Treatment Effects
Conformal Inference of Counterfactuals and Individual Treatment Effects
Lihua Lei
Emmanuel J. Candès
CML
172
195
0
11 Jun 2020
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CMLELMXAI
89
220
0
09 Mar 2020
Asymmetric Shapley values: incorporating causal knowledge into
  model-agnostic explainability
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye
C. Rowat
Ilya Feige
87
183
0
14 Oct 2019
Path-Specific Counterfactual Fairness
Path-Specific Counterfactual Fairness
Silvia Chiappa
Thomas P. S. Gillam
CMLFaML
89
341
0
22 Feb 2018
A Survey Of Methods For Explaining Black Box Models
A Survey Of Methods For Explaining Black Box Models
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
Franco Turini
D. Pedreschi
F. Giannotti
XAI
148
3,979
0
06 Feb 2018
Avoiding Discrimination through Causal Reasoning
Avoiding Discrimination through Causal Reasoning
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaMLCML
115
584
0
08 Jun 2017
Counterfactual Fairness
Counterfactual Fairness
Matt J. Kusner
Joshua R. Loftus
Chris Russell
Ricardo M. A. Silva
FaML
228
1,588
0
20 Mar 2017
On Causal and Anticausal Learning
On Causal and Anticausal Learning
Bernhard Schölkopf
Dominik Janzing
J. Peters
Eleni Sgouritsa
Kun Zhang
Joris Mooij
CML
94
612
0
27 Jun 2012
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