Avoiding Discrimination through Causal Reasoning

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 308 papers shown

Title
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 39 0 26 May 2020
Gender Slopes: Counterfactual Fairness for Computer Vision Models by Attribute Manipulation Jungseock Joo Kimmo Karkkainen 18 48 0 21 May 2020
Principal Fairness for Human and Algorithmic Decision-Making Kosuke Imai Zhichao Jiang FaML 29 30 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 34 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 25 185 0 16 Apr 2020
Individual Fairness in Pipelines Cynthia Dwork Christina Ilvento Meena Jagadeesan FaML 19 40 0 12 Apr 2020
Abstracting Fairness: Oracles, Metrics, and Interpretability Cynthia Dwork Christina Ilvento G. Rothblum Pragya Sur FaML 27 5 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 32 10 0 03 Apr 2020
Fair inference on error-prone outcomes L. Boeschoten E. V. Kesteren A. Bagheri Daniel L. Oberski 16 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 8 22 0 15 Mar 2020
Fairness by Explicability and Adversarial SHAP Learning James M. Hickey Pietro G. Di Stefano V. Vasileiou FAtt FedML 33 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 28 39 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 32 213 0 09 Mar 2020
Counterfactual fairness: removing direct effects through regularization Pietro G. Di Stefano James M. Hickey V. Vasileiou FaML 17 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 24 78 0 24 Feb 2020
Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint Yoichi Chikahara Shinsaku Sakaue Akinori Fujino Hisashi Kashima FaML 18 0 0 17 Feb 2020
Convex Fairness Constrained Model Using Causal Effect Estimators Hikaru Ogura Akiko Takeda 8 2 0 16 Feb 2020
Algorithmic Recourse: from Counterfactual Explanations to Interventions Amir-Hossein Karimi Bernhard Schölkopf Isabel Valera CML 24 337 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 25 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 15 23 0 12 Feb 2020
Oblivious Data for Fairness with Kernels Steffen Grunewalder A. Khaleghi 18 6 0 07 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 386 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 52 376 0 21 Jan 2020
The Incentives that Shape Behaviour Ryan Carey Eric D. Langlois Tom Everitt Shane Legg CML 27 13 0 20 Jan 2020
Algorithmic Fairness from a Non-ideal Perspective S. Fazelpour Zachary Chase Lipton FaML 8 100 0 08 Jan 2020
Learning from Discriminatory Training Data Przemyslaw A. Grabowicz Nicholas Perello Kenta Takatsu FaML 27 1 0 17 Dec 2019
Perfectly Parallel Fairness Certification of Neural Networks Caterina Urban M. Christakis Valentin Wüstholz Fuyuan Zhang 24 67 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 38 357 0 26 Nov 2019
Causality for Machine Learning Bernhard Schölkopf CML AI4CE LRM 38 451 0 24 Nov 2019
Feature Noise Induces Loss Discrepancy Across Groups Fereshte Khani Percy Liang FaML 22 6 0 22 Nov 2019
Fair Data Adaptation with Quantile Preservation Drago Plečko N. Meinshausen 14 30 0 15 Nov 2019
Fairness through Equality of Effort Wen Huang Yongkai Wu Lu Zhang Xintao Wu FaML 21 31 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 33 206 0 08 Nov 2019
Fairness Violations and Mitigation under Covariate Shift Harvineet Singh Rina Singh Vishwali Mhasawade R. Chunara OOD 27 15 0 02 Nov 2019
Feature relevance quantification in explainable AI: A causal problem Dominik Janzing Lenon Minorics Patrick Blobaum FAtt CML 24 279 0 29 Oct 2019
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness Yongkai Wu Lu Zhang Xintao Wu Hanghang Tong FaML 27 115 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 23 11 0 17 Oct 2019
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 35 106 0 16 Oct 2019
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability Christopher Frye C. Rowat Ilya Feige 18 180 0 14 Oct 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 29 67 0 18 Sep 2019
Advancing subgroup fairness via sleeping experts Avrim Blum Thodoris Lykouris FedML 25 37 0 18 Sep 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 18 10 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 355 4,237 0 23 Aug 2019
Data Management for Causal Algorithmic Fairness Babak Salimi B. Howe Dan Suciu CML FaML 21 21 0 20 Aug 2019
Counterfactual Reasoning for Fair Clinical Risk Prediction Stephen R. Pfohl Tony Duan D. Ding N. Shah OOD CML 33 57 0 14 Jul 2019
The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Niki Kilbertus Philip J. Ball Matt J. Kusner Adrian Weller Ricardo M. A. Silva 22 58 0 01 Jul 2019
Fairness criteria through the lens of directed acyclic graphical models Benjamin R. Baer Daniel E. Gilbert M. Wells FaML 19 6 0 26 Jun 2019
Mitigating Gender Bias in Natural Language Processing: Literature Review Tony Sun Andrew Gaut Shirlyn Tang Yuxin Huang Mai Elsherief Jieyu Zhao Diba Mirza E. Belding-Royer Kai-Wei Chang William Yang Wang AI4CE 47 543 0 21 Jun 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi P. Loiseau 28 18 0 15 Jun 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias Emily L. Denton B. Hutchinson Margaret Mitchell Timnit Gebru Andrew Zaldivar CVBM 27 130 0 14 Jun 2019