Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data

7 September 2018

Papers citing "Fairness Through Causal Awareness: Learning Latent-Variable Models for Biased Data"

32 / 32 papers shown

Title
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 39 3 0 29 Aug 2024
Mitigating Nonlinear Algorithmic Bias in Binary Classification Wendy Hui Wai Kwong Lau FaML 38 0 0 09 Dec 2023
Counterfactual Fairness for Predictions using Generative Adversarial Networks Yuchen Ma Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel 36 2 0 26 Oct 2023
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables Ruta Binkyt.e D. Gorla C. Palamidessi FaML 30 1 0 06 Jul 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 44 25 0 02 Mar 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 25 19 0 01 Jan 2023
Certifying Fairness of Probabilistic Circuits Nikil Selvam Mathias Niepert YooJung Choi FaML TPM 15 6 0 05 Dec 2022
Fair Inference for Discrete Latent Variable Models Rashidul Islam Shimei Pan James R. Foulds FaML 46 1 0 15 Sep 2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Ke Wang FaML OOD CML 42 7 0 19 Aug 2022
The Equity Framework: Fairness Beyond Equalized Predictive Outcomes Keziah Naggita J. C. Aguma FaML 23 3 0 18 Apr 2022
A Causal Lens for Controllable Text Generation Zhiting Hu Erran L. Li 45 59 0 22 Jan 2022
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 241 0 01 Oct 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 19 0 0 13 Sep 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 44 24 0 11 Jun 2021
Federated Estimation of Causal Effects from Observational Data Thanh Vinh Vo T. Hoang Young Lee Tze-Yun Leong FedML CML 28 13 0 31 May 2021
Understanding and Mitigating Accuracy Disparity in Regression Jianfeng Chi Yuan Tian Geoffrey J. Gordon Han Zhao 27 25 0 24 Feb 2021
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models Severi Rissanen Pekka Marttinen CML 25 27 0 12 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 30 25 0 18 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 54 30 0 03 Jan 2021
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence Shakir Mohamed Marie-Therese Png William S. Isaac 33 395 0 08 Jul 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 14 40 0 17 Jun 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 29 115 0 14 Jun 2020
A Variational Approach to Privacy and Fairness Borja Rodríguez Gálvez Ragnar Thobaben Mikael Skoglund FaML DRL 19 25 0 11 Jun 2020
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 8 62 0 15 May 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 29 369 0 16 Apr 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 27 213 0 09 Mar 2020
Learning Certified Individually Fair Representations Anian Ruoss Mislav Balunović Marc Fischer Martin Vechev FaML 15 92 0 24 Feb 2020
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 26 67 0 18 Sep 2019
Bias In, Bias Out? Evaluating the Folk Wisdom Ashesh Rambachan J. Roth FaML 24 31 0 18 Sep 2019
HARK Side of Deep Learning -- From Grad Student Descent to Automated Machine Learning O. Gencoglu M. Gils E. Guldogan Chamin Morikawa Mehmet Süzen M. Gruber J. Leinonen H. Huttunen 11 36 0 16 Apr 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,091 0 24 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 232 720 0 12 May 2016