A comparative study of fairness-enhancing interventions in machine learning

13 February 2018

Sorelle A. Friedler

C. Scheidegger

Suresh Venkatasubramanian

Papers citing "A comparative study of fairness-enhancing interventions in machine learning"

50 / 110 papers shown

Title
FairNeuron: Improving Deep Neural Network Fairness with Adversary Games on Selective Neurons Xuanqi Gao Juan Zhai Shiqing Ma Chao Shen Yufei Chen Qianqian Wang 34 37 0 06 Apr 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 24 5 0 23 Feb 2022
Obtaining Dyadic Fairness by Optimal Transport Moyi Yang Junjie Sheng Xiangfeng Wang Wenyan Liu Bo Jin Jun Wang H. Zha 29 6 0 09 Feb 2022
Towards Trustworthy AutoGrading of Short, Multi-lingual, Multi-type Answers Johannes Schneider Robin Richner Micha Riser AI4Ed 14 35 0 02 Jan 2022
Forward Composition Propagation for Explainable Neural Reasoning Isel Grau Gonzalo Nápoles M. Bello Yamisleydi Salgueiro A. Jastrzębska 22 0 0 23 Dec 2021
Modeling Implicit Bias with Fuzzy Cognitive Maps Gonzalo Nápoles Isel Grau Leonardo Concepción Lisa Koutsoviti Koumeri João Paulo Papa 18 26 0 23 Dec 2021
There is an elephant in the room: Towards a critique on the use of fairness in biometrics Ana Valdivia Júlia Corbera Serrajòrdia Aneta Swianiewicz 23 14 0 16 Dec 2021
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 27 26 0 25 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 13 241 0 01 Oct 2021
Fairness-Driven Private Collaborative Machine Learning Dana Pessach Tamir Tassa E. Shmueli FedML 33 7 0 29 Sep 2021
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice models Yunhan Zheng Shenhao Wang Jinhuan Zhao HAI 26 27 0 25 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 29 1 0 13 Sep 2021
Gradual (In)Compatibility of Fairness Criteria Corinna Hertweck T. Raz 32 12 0 09 Sep 2021
A fuzzy-rough uncertainty measure to discover bias encoded explicitly or implicitly in features of structured pattern classification datasets Gonzalo Nápoles Lisa Koutsoviti Koumeri 31 17 0 20 Aug 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 40 2 0 11 Aug 2021
Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline Sumon Biswas Hridesh Rajan 26 112 0 02 Jun 2021
Cohort Shapley value for algorithmic fairness Masayoshi Mase Art B. Owen Benjamin B. Seiler 26 14 0 15 May 2021
Improving Fairness in Speaker Recognition Gianni Fenu Giacomo Medda Mirko Marras Giacomo Meloni 21 19 0 29 Apr 2021
Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks Marlotte Pannekoek G. Spigler FedML 32 26 0 11 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
Person Perception Biases Exposed: Revisiting the First Impressions Dataset Julio C. S. Jacques Junior Àgata Lapedriza Cristina Palmero Xavier Baro Sergio Escalera 30 11 0 30 Nov 2020
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 25 190 0 03 Nov 2020
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 41 45 0 19 Oct 2020
Fairness-Aware Online Personalization G. R. Lal S. Geyik K. Kenthapadi FaML 16 3 0 30 Jul 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 33 108 0 20 Jul 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 28 61 0 18 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 38 120 0 10 Jul 2020
Fair Performance Metric Elicitation Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 32 18 0 23 Jun 2020
Solving Constrained CASH Problems with ADMM Parikshit Ram Sijia Liu Deepak Vijaykeerthi Dakuo Wang Djallel Bouneffouf Gregory Bramble Horst Samulowitz Alexander G. Gray 33 3 0 17 Jun 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 27 84 0 09 Jun 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 33 3 0 24 May 2020
Ensuring Fairness under Prior Probability Shifts Arpita Biswas Suvam Mukherjee OOD 24 33 0 06 May 2020
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set Philippe C. Besse E. del Barrio Paula Gordaliza Jean-Michel Loubes Laurent Risser FaML 22 63 0 31 Mar 2020
Designing Tools for Semi-Automated Detection of Machine Learning Biases: An Interview Study Po-Ming Law Sana Malik F. Du Moumita Sinha 29 12 0 13 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
Addressing multiple metrics of group fairness in data-driven decision making M. Miron Songül Tolan Emilia Gómez Carlos Castillo FaML 27 8 0 10 Mar 2020
Robust Optimization for Fairness with Noisy Protected Groups S. Wang Wenshuo Guo Harikrishna Narasimhan Andrew Cotter Maya R. Gupta Michael I. Jordan NoLa 29 118 0 21 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 386 0 21 Jan 2020
Keeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems C. E. Smith Bowen Yu Anjali Srivastava Aaron L Halfaker Loren G. Terveen Haiyi Zhu KELM 21 69 0 14 Jan 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 46 51 0 06 Jan 2020
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 14 381 0 11 Dec 2019
What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems Javier Sánchez-Monedero L. Dencik L. Edwards 21 131 0 28 Sep 2019
Fairness Warnings and Fair-MAML: Learning Fairly with Minimal Data Dylan Slack Sorelle A. Friedler Emile Givental FaML 32 54 0 24 Aug 2019
Debiasing Embeddings for Reduced Gender Bias in Text Classification Flavien Prost Nithum Thain Tolga Bolukbasi FaML 24 50 0 07 Aug 2019
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 40 378 0 31 Jul 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 26 155 0 01 Jun 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 24 28 0 29 May 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 24 377 0 30 Apr 2019
Stable and Fair Classification Lingxiao Huang Nisheeth K. Vishnoi FaML 24 71 0 21 Feb 2019