Assessing Fairness in the Presence of Missing Data

7 December 2021

Papers citing "Assessing Fairness in the Presence of Missing Data"

22 / 22 papers shown

Title
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 147 0 0 20 Feb 2024
Better Fair than Sorry: Adversarial Missing Data Imputation for Fair GNNs Debolina Halder Lina Arlei Silva 76 0 0 02 Nov 2023
Fairness in Missing Data Imputation Yiliang Zhang Q. Long 55 12 0 22 Oct 2021
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective Naman Goel Alfonso Amayuelas Amit Deshpande Ajay Sharma FaML 119 30 0 21 Dec 2020
Conditional Learning of Fair Representations Han Zhao Amanda Coston T. Adel Geoffrey J. Gordon FaML 64 107 0 16 Oct 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 58 70 0 24 Jun 2019
Empirical Risk Minimization under Random Censorship: Theory and Practice Guillaume Ausset Stephan Clémençon François Portier 42 5 0 05 Jun 2019
Fair Regression: Quantitative Definitions and Reduction-based Algorithms Alekh Agarwal Miroslav Dudík Zhiwei Steven Wu FaML 44 247 0 30 May 2019
Fairness and Missing Values Fernando Martínez-Plumed Cesar Ferri David Nieves José Hernández-Orallo 56 28 0 29 May 2019
Robustness to Adversarial Perturbations in Learning from Incomplete Data Amir Najafi S. Maeda Masanori Koyama Takeru Miyato OOD 75 130 0 24 May 2019
MisGAN: Learning from Incomplete Data with Generative Adversarial Networks Steven Cheng-Xian Li Bo Jiang Benjamin M. Marlin GAN SyDa 50 168 0 25 Feb 2019
General Fair Empirical Risk Minimization L. Oneto Michele Donini Massimiliano Pontil FaML 57 38 0 29 Jan 2019
On Learning Invariant Representation for Domain Adaptation Haiying Zhao Rémi Tachet des Combes Kun Zhang Geoffrey J. Gordon OOD 63 157 0 27 Jan 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 56 1,016 0 07 Jun 2018
Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems S. Kiritchenko Saif M. Mohammad FaML 77 435 0 11 May 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 76 444 0 23 Feb 2018
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 165 1,206 0 26 Oct 2016
Theoretical Analysis of Domain Adaptation with Optimal Transport I. Redko Amaury Habrard M. Sebban OT 60 186 0 14 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 192 4,301 0 07 Oct 2016
Exact Lower Bounds for the Agnostic Probably-Approximately-Correct (PAC) Machine Learning Model A. Kontorovich I. Pinelis 82 22 0 29 Jun 2016
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback Adith Swaminathan Thorsten Joachims OffRL 94 166 0 09 Feb 2015
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 214 4,307 0 04 May 2011