Retiring Adult: New Datasets for Fair Machine Learning

10 August 2021

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

50 / 288 papers shown

Title
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 14 2 0 23 Jan 2024
Long-Term Fair Decision Making through Deep Generative Models Yaowei Hu Yongkai Wu Lu Zhang FaML 32 1 0 20 Jan 2024
The Impact of Differential Feature Under-reporting on Algorithmic Fairness Nil-Jana Akpinar Zachary C. Lipton Alexandra Chouldechova 20 4 0 16 Jan 2024
Estimating Model Performance Under Covariate Shift Without Labels Jakub Bialek W. Kuberski Nikolaos Perrakis Albert Bifet 36 2 0 16 Jan 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift Benjamin Eyre Elliot Creager David Madras Antonio Torralba Katherine Heller OOD OODD 37 1 0 29 Dec 2023
Initializing Services in Interactive ML Systems for Diverse Users Avinandan Bose Mihaela Curmei Daniel L. Jiang Jamie Morgenstern Sarah Dean Lillian J. Ratliff Maryam Fazel 21 5 0 19 Dec 2023
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy Lucas Rosenblatt Julia Stoyanovich Christopher Musco 22 2 0 18 Dec 2023
Uncertainty-based Fairness Measures Selim Kuzucu Jiaee Cheong Hatice Gunes Sinan Kalkan UD PER 37 4 0 18 Dec 2023
Continuous Diffusion for Mixed-Type Tabular Data Markus Mueller Kathrin Gruber Dennis Fok DiffM 53 5 0 16 Dec 2023
Benchmarking Distribution Shift in Tabular Data with TableShift Josh Gardner Zoran Popovic Ludwig Schmidt OOD 24 33 0 10 Dec 2023
A Brief Tutorial on Sample Size Calculations for Fairness Audits Harvineet Singh Fan Xia Mi-Ok Kim Romain Pirracchio R. Chunara Jean Feng 26 0 0 07 Dec 2023
On the Impact of Multi-dimensional Local Differential Privacy on Fairness K. Makhlouf Héber H. Arcolezi Sami Zhioua G. B. Brahim C. Palamidessi 23 5 0 07 Dec 2023
f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization Sina Baharlouei Shivam Patel Meisam Razaviyayn 35 4 0 06 Dec 2023
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 49 6 0 05 Dec 2023
Certification of Distributional Individual Fairness Matthew Wicker Vihari Piratla Adrian Weller 27 1 0 20 Nov 2023
From Principle to Practice: Vertical Data Minimization for Machine Learning Robin Staab Nikola Jovanović Mislav Balunović Martin Vechev 34 5 0 17 Nov 2023
Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms Kristof Meding Thilo Hagendorff 41 7 0 12 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Anton van den Hengel 24 2 0 05 Nov 2023
Equal Opportunity of Coverage in Fair Regression Fangxin Wang Lu Cheng Ruocheng Guo Kay Liu Philip S. Yu 24 14 0 03 Nov 2023
PPI++: Efficient Prediction-Powered Inference Anastasios Nikolas Angelopoulos John C. Duchi Tijana Zrnic 22 34 0 02 Nov 2023
Parametric Fairness with Statistical Guarantees François Hu Philipp Ratz Arthur Charpentier FaML 13 1 0 31 Oct 2023
WCLD: Curated Large Dataset of Criminal Cases from Wisconsin Circuit Courts Elliott Ash Naman Goel Nianyun Li Claudia Marangon Peiyao Sun 27 2 0 28 Oct 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing Vincent Grari Thibault Laugel Tatsunori Hashimoto Sylvain Lamprier Marcin Detyniecki 38 2 0 27 Oct 2023
fairret: a Framework for Differentiable Fairness Regularization Terms Maarten Buyl Marybeth Defrance T. D. Bie FedML 34 4 0 26 Oct 2023
On the Interplay between Fairness and Explainability Stephanie Brandl Emanuele Bugliarello Ilias Chalkidis FaML 27 4 0 25 Oct 2023
FairBranch: Fairness Conflict Correction on Task-group Branches for Fair Multi-Task Learning Arjun Roy C. Koutlis Symeon Papadopoulos Eirini Ntoutsi 25 0 0 20 Oct 2023
Fairer and More Accurate Tabular Models Through NAS Richeek Das Samuel Dooley 21 4 0 18 Oct 2023
Beyond Memorization: Violating Privacy Via Inference with Large Language Models Robin Staab Mark Vero Mislav Balunović Martin Vechev PILM 38 74 0 11 Oct 2023
Oracle Efficient Algorithms for Groupwise Regret Krishna Acharya Eshwar Ram Arunachaleswaran Sampath Kannan Aaron Roth Juba Ziani AI4TS 42 2 0 07 Oct 2023
Quantifying and mitigating the impact of label errors on model disparity metrics Julius Adebayo Melissa Hall Bowen Yu Bobbie Chern 24 10 0 04 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 35 14 0 29 Sep 2023
Cross-Prediction-Powered Inference Tijana Zrnic Emmanuel J. Candès 40 23 0 28 Sep 2023
Dr. FERMI: A Stochastic Distributionally Robust Fair Empirical Risk Minimization Framework Sina Baharlouei Meisam Razaviyayn FaML OOD 43 0 0 20 Sep 2023
A Sequentially Fair Mechanism for Multiple Sensitive Attributes Franccois Hu Philipp Ratz Arthur Charpentier FaML 18 6 0 12 Sep 2023
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers Xilong Wang Chia-Mu Yu Pin-Yu Chen 16 0 0 12 Sep 2023
Bias Propagation in Federated Learning Hong Chang Reza Shokri FedML 16 10 0 05 Sep 2023
Fairness in Ranking under Disparate Uncertainty Richa Rastogi Thorsten Joachims 35 3 0 04 Sep 2023
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 45 20 0 03 Sep 2023
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions Jan Simson Florian Pfisterer Christoph Kern 22 12 0 31 Aug 2023
Environment Diversification with Multi-head Neural Network for Invariant Learning Bo-Wei Huang Keng-Te Liao Chang-Sheng Kao Shou-De Lin OOD 21 4 0 17 Aug 2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We? Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 38 4 0 25 Jul 2023
Fairness Under Demographic Scarce Regime Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 41 3 0 24 Jul 2023
Collaboratively Learning Linear Models with Structured Missing Data Chen Cheng Gary Cheng John C. Duchi FedML 27 2 0 22 Jul 2023
On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms Héber H. Arcolezi Selene Cerna C. Palamidessi 22 3 0 15 Jul 2023
Dissenting Explanations: Leveraging Disagreement to Reduce Model Overreliance Omer Reingold J. Shen Aditi Talati FAtt LRM 24 3 0 14 Jul 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 30 30 0 09 Jul 2023
Scalable Membership Inference Attacks via Quantile Regression Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu MIACV 30 44 0 07 Jul 2023
When Fair Classification Meets Noisy Protected Attributes Avijit Ghosh Pablo Kvitca Chris L. Wilson FaML 19 6 0 06 Jul 2023
On the Cause of Unfairness: A Training Sample Perspective Yuanshun Yao Yang Liu TDI 33 0 0 30 Jun 2023
AutoML in Heavily Constrained Applications Felix Neutatz Marius Lindauer Ziawasch Abedjan 17 4 0 29 Jun 2023