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1706.02744
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Avoiding Discrimination through Causal Reasoning
8 June 2017
Niki Kilbertus
Mateo Rojas-Carulla
Giambattista Parascandolo
Moritz Hardt
Dominik Janzing
Bernhard Schölkopf
FaML
CML
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Papers citing
"Avoiding Discrimination through Causal Reasoning"
50 / 312 papers shown
Title
Causal Feature Selection for Algorithmic Fairness
Sainyam Galhotra
Karthikeyan Shanmugam
P. Sattigeri
Kush R. Varshney
FaML
89
43
0
10 Jun 2020
Achieving Equalized Odds by Resampling Sensitive Attributes
Yaniv Romano
Stephen Bates
Emmanuel J. Candès
FaML
39
51
0
08 Jun 2020
What's Sex Got To Do With Fair Machine Learning?
Lily Hu
Issa Kohler-Hausmann
FaML
70
82
0
02 Jun 2020
AI Research Considerations for Human Existential Safety (ARCHES)
Andrew Critch
David M. Krueger
112
53
0
30 May 2020
Distributional Random Forests: Heterogeneity Adjustment and Multivariate Distributional Regression
Domagoj Cevid
Loris Michel
Jeffrey Näf
N. Meinshausen
Peter Buhlmann
96
43
0
29 May 2020
Review of Mathematical frameworks for Fairness in Machine Learning
E. del Barrio
Paula Gordaliza
Jean-Michel Loubes
FaML
FedML
69
40
0
26 May 2020
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation
Jungseock Joo
Kimmo Karkkainen
69
48
0
21 May 2020
Principal Fairness for Human and Algorithmic Decision-Making
Kosuke Imai
Zhichao Jiang
FaML
85
31
0
21 May 2020
The Impact of Presentation Style on Human-In-The-Loop Detection of Algorithmic Bias
Po-Ming Law
Sana Malik
F. Du
Moumita Sinha
45
6
0
26 Apr 2020
REVISE: A Tool for Measuring and Mitigating Bias in Visual Datasets
Angelina Wang
Alexander Liu
Ryan Zhang
Anat Kleiman
Leslie Kim
Dora Zhao
Iroha Shirai
Arvind Narayanan
Olga Russakovsky
89
191
0
16 Apr 2020
Individual Fairness in Pipelines
Cynthia Dwork
Christina Ilvento
Meena Jagadeesan
FaML
58
40
0
12 Apr 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork
Christina Ilvento
G. Rothblum
Pragya Sur
FaML
79
8
0
04 Apr 2020
Demographic Bias: A Challenge for Fingervein Recognition Systems?
P. Drozdowski
B. Prommegger
Georg Wimmer
R. Schraml
Christian Rathgeb
A. Uhl
C. Busch
78
10
0
03 Apr 2020
Fair inference on error-prone outcomes
L. Boeschoten
E. V. Kesteren
A. Bagheri
Daniel L. Oberski
21
2
0
17 Mar 2020
Balancing Competing Objectives with Noisy Data: Score-Based Classifiers for Welfare-Aware Machine Learning
Esther Rolf
Max Simchowitz
Sarah Dean
Lydia T. Liu
Daniel Björkegren
Moritz Hardt
J. Blumenstock
43
23
0
15 Mar 2020
Fairness by Explicability and Adversarial SHAP Learning
James M. Hickey
Pietro G. Di Stefano
V. Vasileiou
FAtt
FedML
125
19
0
11 Mar 2020
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models
Ki Hyun Tae
Steven Euijong Whang
85
41
0
10 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CML
ELM
XAI
98
221
0
09 Mar 2020
Counterfactual fairness: removing direct effects through regularization
Pietro G. Di Stefano
James M. Hickey
V. Vasileiou
FaML
128
19
0
25 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
Yuji Roh
Kangwook Lee
Steven Euijong Whang
Changho Suh
85
79
0
24 Feb 2020
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint
Yoichi Chikahara
Shinsaku Sakaue
Akinori Fujino
Hisashi Kashima
FaML
23
0
0
17 Feb 2020
Convex Fairness Constrained Model Using Causal Effect Estimators
Hikaru Ogura
Akiko Takeda
24
2
0
16 Feb 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions
Amir-Hossein Karimi
Bernhard Schölkopf
Isabel Valera
CML
100
346
0
14 Feb 2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models
Qianwen Wang
W. Alexander
J. Pegg
Huamin Qu
Min Chen
VLM
63
10
0
12 Feb 2020
To Split or Not to Split: The Impact of Disparate Treatment in Classification
Hao Wang
Hsiang Hsu
Mario Díaz
Flavio du Pin Calmon
115
23
0
12 Feb 2020
Oblivious Data for Fairness with Kernels
Steffen Grunewalder
A. Khaleghi
55
6
0
07 Feb 2020
Algorithmic Fairness
Dana Pessach
E. Shmueli
FaML
102
395
0
21 Jan 2020
Secure and Robust Machine Learning for Healthcare: A Survey
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAML
OOD
98
392
0
21 Jan 2020
Incentives for Responsiveness, Instrumental Control and Impact
Ryan Carey
Eric D. Langlois
Chris van Merwijk
Shane Legg
Tom Everitt
CML
79
13
0
20 Jan 2020
Algorithmic Fairness from a Non-ideal Perspective
S. Fazelpour
Zachary Chase Lipton
FaML
66
103
0
08 Jan 2020
Learning from Discriminatory Training Data
Przemyslaw A. Grabowicz
Nicholas Perello
Kenta Takatsu
FaML
87
1
0
17 Dec 2019
Perfectly Parallel Fairness Certification of Neural Networks
Caterina Urban
M. Christakis
Valentin Wüstholz
Fuyuan Zhang
105
72
0
05 Dec 2019
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation
Zeyu Wang
Klint Qinami
Yannis Karakozis
Kyle Genova
P. Nair
Kenji Hata
Olga Russakovsky
104
366
0
26 Nov 2019
Causality for Machine Learning
Bernhard Schölkopf
CML
AI4CE
LRM
117
465
0
24 Nov 2019
Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani
Percy Liang
FaML
59
6
0
22 Nov 2019
Fair Data Adaptation with Quantile Preservation
Drago Plečko
N. Meinshausen
69
30
0
15 Nov 2019
Fairness through Equality of Effort
Wen Huang
Yongkai Wu
Lu Zhang
Xintao Wu
FaML
57
33
0
11 Nov 2019
Reducing Sentiment Bias in Language Models via Counterfactual Evaluation
Po-Sen Huang
Huan Zhang
Ray Jiang
Robert Stanforth
Johannes Welbl
Jack W. Rae
Vishal Maini
Dani Yogatama
Pushmeet Kohli
106
217
0
08 Nov 2019
Fairness Violations and Mitigation under Covariate Shift
Harvineet Singh
Rina Singh
Vishwali Mhasawade
R. Chunara
OOD
79
15
0
02 Nov 2019
Feature relevance quantification in explainable AI: A causal problem
Dominik Janzing
Lenon Minorics
Patrick Blobaum
FAtt
CML
106
286
0
29 Oct 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness
Yongkai Wu
Lu Zhang
Xintao Wu
Hanghang Tong
FaML
125
118
0
20 Oct 2019
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Sanghamitra Dutta
Dennis L. Wei
Hazar Yueksel
Pin-Yu Chen
Sijia Liu
Kush R. Varshney
FaML
67
11
0
17 Oct 2019
Conditional Learning of Fair Representations
Han Zhao
Amanda Coston
T. Adel
Geoffrey J. Gordon
FaML
87
109
0
16 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye
C. Rowat
Ilya Feige
105
183
0
14 Oct 2019
Causal Modeling for Fairness in Dynamical Systems
Elliot Creager
David Madras
T. Pitassi
R. Zemel
85
67
0
18 Sep 2019
Advancing subgroup fairness via sleeping experts
Avrim Blum
Thodoris Lykouris
FedML
68
37
0
18 Sep 2019
Learning Fair Rule Lists
Ulrich Aïvodji
Julien Ferry
Sébastien Gambs
Marie-José Huguet
Mohamed Siala
FaML
61
11
0
09 Sep 2019
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
603
4,424
0
23 Aug 2019
Data Management for Causal Algorithmic Fairness
Babak Salimi
B. Howe
Dan Suciu
CML
FaML
41
23
0
20 Aug 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction
Stephen Pfohl
Tony Duan
D. Ding
N. Shah
OOD
CML
71
58
0
14 Jul 2019
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