Retiring Adult: New Datasets for Fair Machine Learning

10 August 2021

Papers citing "Retiring Adult: New Datasets for Fair Machine Learning"

36 / 286 papers shown

Title
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Y. Zou 31 16 0 06 Jun 2022
Practical Adversarial Multivalid Conformal Prediction Osbert Bastani Varun Gupta Christopher Jung Georgy Noarov Ramya Ramalingam Aaron Roth 9 51 0 02 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 17 5 0 01 Jun 2022
Fairness Transferability Subject to Bounded Distribution Shift Yatong Chen Reilly P. Raab Jialu Wang Yang Liu 19 34 0 31 May 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier Camille Olivia Little Michael Weylandt Genevera I. Allen 14 13 0 31 May 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 13 4 0 24 May 2022
Addressing Strategic Manipulation Disparities in Fair Classification Vijay Keswani L. E. Celis 9 3 0 22 May 2022
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation Angelina Wang V. V. Ramaswamy Olga Russakovsky FaML 13 90 0 10 May 2022
Evaluating the Fairness Impact of Differentially Private Synthetic Data Blake Bullwinkel Kristen Grabarz Lily Ke Scarlett Gong Christy Tanner Joshua Allen SyDa 15 8 0 09 May 2022
Spending Privacy Budget Fairly and Wisely Lucas Rosenblatt Joshua Allen Julia Stoyanovich 16 4 0 27 Apr 2022
Data Debugging with Shapley Importance over End-to-End Machine Learning Pipelines Bojan Karlavs David Dao Matteo Interlandi Bo-wen Li Sebastian Schelter Wentao Wu Ce Zhang TDI 6 26 0 23 Apr 2022
Improved Group Robustness via Classifier Retraining on Independent Splits Thien Hai Nguyen Hongyang R. Zhang Huy Le Nguyen OOD 18 2 0 20 Apr 2022
Fair Federated Learning via Bounded Group Loss Shengyuan Hu Zhiwei Steven Wu Virginia Smith FaML FedML 6 14 0 18 Mar 2022
Repairing Regressors for Fair Binary Classification at Any Decision Threshold Kweku Kwegyir-Aggrey A. Feder Cooper Jessica Dai John P Dickerson Keegan E. Hines Suresh Venkatasubramanian FaML 12 7 0 14 Mar 2022
FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing Ilias Chalkidis Tommaso Pasini Shenmin Zhang Letizia Tomada Sebastian Felix Schwemer Anders Søgaard AILaw 22 54 0 14 Mar 2022
Data Representativity for Machine Learning and AI Systems Line H. Clemmensen R. Kjærsgaard 12 18 0 09 Mar 2022
Fairness-Aware Naive Bayes Classifier for Data with Multiple Sensitive Features Stelios Boulitsakis-Logothetis FaML 8 5 0 23 Feb 2022
Cascaded Debiasing: Studying the Cumulative Effect of Multiple Fairness-Enhancing Interventions Bhavya Ghai Mihir A. Mishra Klaus Mueller 6 7 0 08 Feb 2022
Learning fair representation with a parametric integral probability metric Dongha Kim Kunwoong Kim Insung Kong Ilsang Ohn Yongdai Kim FaML 17 16 0 07 Feb 2022
Approximating Full Conformal Prediction at Scale via Influence Functions Javier Abad Umang Bhatt Adrian Weller Giovanni Cherubin 27 10 0 02 Feb 2022
Improving Screening Processes via Calibrated Subset Selection Lequn Wang Thorsten Joachims Manuel Gomez Rodriguez CML 24 18 0 02 Feb 2022
Fair Wrapping for Black-box Predictions Alexander Soen Ibrahim M. Alabdulmohsin Sanmi Koyejo Yishay Mansour Nyalleng Moorosi Richard Nock Ke Sun Lexing Xie FaML 36 6 0 31 Jan 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 21 15 0 27 Jan 2022
An Algorithmic Framework for Bias Bounties Ira Globus-Harris Michael Kearns Aaron Roth FedML 92 24 0 25 Jan 2022
Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts Sebastian Bordt Michèle Finck Eric Raidl U. V. Luxburg AILaw 13 77 0 25 Jan 2022
On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations M. Virgolin Saverio Fracaros CML 19 36 0 22 Jan 2022
Minimax Demographic Group Fairness in Federated Learning Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 11 41 0 20 Jan 2022
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 17 195 0 02 Oct 2021
A survey on datasets for fairness-aware machine learning Tai Le Quy Arjun Roy Vasileios Iosifidis Wenbin Zhang Eirini Ntoutsi FaML 11 237 0 01 Oct 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Naresh Boddeti 17 7 0 08 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 510 0 31 Aug 2021
Multiaccurate Proxies for Downstream Fairness Emily Diana Wesley Gill Michael Kearns K. Kenthapadi Aaron Roth Saeed Sharifi-Malvajerdi 11 21 0 09 Jul 2021
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data Eugenia Iofinova Nikola Konstantinov Christoph H. Lampert FaML 17 0 0 22 Jun 2021
Patterns, predictions, and actions: A story about machine learning Moritz Hardt Benjamin Recht SSL AI4TS AI4CE 38 30 0 10 Feb 2021
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 14 184 0 16 Apr 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016