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1907.09615
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Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems
22 July 2019
Shalmali Joshi
Oluwasanmi Koyejo
Warut D. Vijitbenjaronk
Been Kim
Joydeep Ghosh
FaML
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Papers citing
"Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems"
16 / 16 papers shown
Title
Graph Counterfactual Explainable AI via Latent Space Traversal
Andreas Abildtrup Hansen
Paraskevas Pegios
Anna Calissano
Aasa Feragen
OOD
BDL
AAML
92
0
0
15 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
Numair Sani
Daniel Malinsky
I. Shpitser
CML
90
16
0
10 Jan 2025
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
Junyu Cao
Ruijiang Gao
Esmaeil Keyvanshokooh
102
1
0
18 Oct 2024
Learning Actionable Counterfactual Explanations in Large State Spaces
Keziah Naggita
Matthew R. Walter
Avrim Blum
OffRL
43
0
0
25 Apr 2024
Interpretable Credit Application Predictions With Counterfactual Explanations
Rory Mc Grath
Luca Costabello
Chan Le Van
Paul Sweeney
F. Kamiab
Zhao Shen
Freddy Lecue
FAtt
31
109
0
13 Nov 2018
Actionable Recourse in Linear Classification
Berk Ustun
Alexander Spangher
Yang Liu
FaML
84
545
0
18 Sep 2018
Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
38
133
0
07 Sep 2018
Handling Incomplete Heterogeneous Data using VAEs
A. Nazábal
Pablo Martínez Olmos
Zoubin Ghahramani
Isabel Valera
37
345
0
10 Jul 2018
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives
Amit Dhurandhar
Pin-Yu Chen
Ronny Luss
Chun-Chen Tu
Pai-Shun Ting
Karthikeyan Shanmugam
Payel Das
FAtt
86
587
0
21 Feb 2018
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter
Brent Mittelstadt
Chris Russell
MLAU
54
2,332
0
01 Nov 2017
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CML
BDL
129
738
0
24 May 2017
Tutorial on Variational Autoencoders
Carl Doersch
BDL
DRL
72
1,736
0
19 Jun 2016
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
56
1,312
0
02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
74
1,827
0
31 May 2016
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
198
8,351
0
28 Nov 2014
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
336
16,972
0
20 Dec 2013
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