Retiring Adult: New Datasets for Fair Machine Learning

10 August 2021

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

50 / 286 papers shown

Title
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics Jarren Briscoe Garrett Kepler Daryl Deford Assefaw Gebremedhin 24 0 0 06 May 2025
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration Vasiliki Papanikou Danae Pla Karidi E. Pitoura Emmanouil Panagiotou Eirini Ntoutsi 24 0 0 01 May 2025
Benchmarking Differentially Private Tabular Data Synthesis Kai Chen Xiaochen Li Chen Gong Ryan McKenna Tianhao Wang 26 0 0 18 Apr 2025
M $^2$ FGB: A Min-Max Gradient Boosting Framework for Subgroup Fairness Jansen S. B. Pereira Giovani Valdrighi Marcos Medeiros Raimundo FaML 37 0 0 16 Apr 2025
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing Yifan Yang Yang Liu Parinaz Naghizadeh 27 1 0 10 Apr 2025
Societal Impacts Research Requires Benchmarks for Creative Composition Tasks Judy Hanwen Shen Carlos Guestrin 31 0 0 09 Apr 2025
P2NIA: Privacy-Preserving Non-Iterative Auditing Jade Garcia Bourrée H. Lautraite Sébastien Gambs Gilles Tredan Erwan Le Merrer Benoit Rottembourg 32 0 0 01 Apr 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 36 0 0 27 Mar 2025
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing Nathanael Jo Kathleen Creel Ashia C. Wilson Manish Raghavan FedML 54 0 0 19 Mar 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time Xiaotian Han Tianlong Chen Kaixiong Zhou Zhimeng Jiang Zhangyang Wang Xia Hu 82 0 0 10 Mar 2025
Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing Debabrota Basu Debarshi Chanda 36 0 0 10 Mar 2025
An Efficient Plugin Method for Metric Optimization of Black-Box Models Siddartha Devic Nurendra Choudhary Anirudh Srinivasan Sahika Genc B. Kveton G. Hiranandani 34 0 0 03 Mar 2025
Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage Konstantina Bairaktari Jiayun Wu Zhiwei Steven Wu 38 0 0 24 Feb 2025
Targeted Learning for Data Fairness Alexander Asemota Giles Hooker FaML 91 0 0 06 Feb 2025
Bias Detection via Maximum Subgroup Discrepancy Jiří Němeček Mark Kozdoba Illia Kryvoviaz Tomáš Pevný Jakub Mareˇcek 94 0 0 04 Feb 2025
TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data P. Tiwald Ivona Krchova Andrey Sidorenko Mariana Vargas-Vieyra Mario Scriminaci Michael Platzer 44 1 0 21 Jan 2025
Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models Martin Pawelczyk Lillian Sun Zhenting Qi Aounon Kumar Himabindu Lakkaraju 33 1 0 03 Jan 2025
Towards Effective Discrimination Testing for Generative AI Thomas P. Zollo Nikita Rajaneesh Richard Zemel Talia B. Gillis Emily Black 30 1 0 31 Dec 2024
Sequential Harmful Shift Detection Without Labels Salim I. Amoukou Tom Bewley Saumitra Mishra Freddy Lecue Daniele Magazzeni Manuela Veloso 63 1 0 17 Dec 2024
Who's the (Multi-)Fairest of Them All: Rethinking Interpolation-Based Data Augmentation Through the Lens of Multicalibration Karina Halevy Karly Hou Charumathi Badrinath 70 0 0 13 Dec 2024
Improving LLM Group Fairness on Tabular Data via In-Context Learning Valeriia Cherepanova Chia-Jung Lee Nil-Jana Akpinar Riccardo Fogliato Martín Bertrán Michael Kearns James Zou LMTD 63 0 0 05 Dec 2024
Data Acquisition for Improving Model Fairness using Reinforcement Learning Jahid Hasan Romila Pradhan 57 0 0 04 Dec 2024
Bridging Fairness Gaps: A (Conditional) Distance Covariance Perspective in Fairness Learning Ruifan Huang Haixia Liu FedML FaML 64 0 0 01 Dec 2024
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Parjanya Prashant Seyedeh Baharan Khatami Bruno Ribeiro Babak Salimi 62 0 0 29 Nov 2024
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 91 0 0 19 Nov 2024
Different Horses for Different Courses: Comparing Bias Mitigation Algorithms in ML Prakhar Ganesh Usman Gohar Lu Cheng G. Farnadi FaML 36 1 0 17 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data Kai Helli David Schnurr Noah Hollmann Samuel G. Müller Frank Hutter OOD 31 4 0 15 Nov 2024
SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluation M. Khodak Lester W. Mackey Alexandra Chouldechova Miroslav Dudik 31 0 0 14 Nov 2024
Properties of fairness measures in the context of varying class imbalance and protected group ratios D. Brzezinski Julia Stachowiak Jerzy Stefanowski Izabela Szczech R. Susmaga Sofya Aksenyuk Uladzimir Ivashka Oleksandr Yasinskyi 66 4 0 13 Nov 2024
The Intersectionality Problem for Algorithmic Fairness Johannes Himmelreich Arbie Hsu Kristian Lum Ellen Veomett FaML 29 0 0 04 Nov 2024
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training Kristjan Greenewald Yuancheng Yu Hao Wang Kai Xu 31 0 0 25 Oct 2024
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning Jake Fawkes Nic Fishman Mel Andrews Zachary C. Lipton 21 1 0 12 Oct 2024
LLM Embeddings Improve Test-time Adaptation to Tabular $Y\|X$ -Shifts Yibo Zeng Jiashuo Liu H. Lam Hongseok Namkoong LMTD 19 1 0 09 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 18 0 0 09 Oct 2024
Testing Credibility of Public and Private Surveys through the Lens of Regression Debabrota Basu Sourav Chakraborty Debarshi Chanda Buddha Dev Das Arijit Ghosh Arnab Ray 18 0 0 07 Oct 2024
Precise Model Benchmarking with Only a Few Observations Riccardo Fogliato Pratik Patil Nil-Jana Akpinar Mathew Monfort 19 0 0 07 Oct 2024
FairlyUncertain: A Comprehensive Benchmark of Uncertainty in Algorithmic Fairness Lucas Rosenblatt R. T. Witter FaML 20 0 0 02 Oct 2024
Learning-Augmented Robust Algorithmic Recourse Kshitij Kayastha Vasilis Gkatzelis Shahin Jabbari 24 0 0 02 Oct 2024
Sufficient and Necessary Explanations (and What Lies in Between) Beepul Bharti P. Yi Jeremias Sulam XAI FAtt 13 0 0 30 Sep 2024
Fairness without Sensitive Attributes via Knowledge Sharing Hongliang Ni Lei Han Tong Chen S. Sadiq Gianluca Demartini 21 2 0 27 Sep 2024
ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods Marybeth Defrance Maarten Buyl Tijl De Bie 21 3 0 25 Sep 2024
Still More Shades of Null: An Evaluation Suite for Responsible Missing Value Imputation Falaah Arif Khan Denys Herasymuk Nazar Protsiv Julia Stoyanovich VLM 18 0 0 11 Sep 2024
Sharper Bounds for Chebyshev Moment Matching with Applications to Differential Privacy and Beyond Cameron Musco Christopher Musco Lucas Rosenblatt A. Singh FedML 29 1 0 22 Aug 2024
The Data Addition Dilemma Judy Hanwen Shen Inioluwa Deborah Raji Irene Y. Chen 30 5 0 08 Aug 2024
Enhancing Group Fairness in Federated Learning through Personalization Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili FedML 16 0 0 27 Jul 2024
PUFFLE: Balancing Privacy, Utility, and Fairness in Federated Learning Luca Corbucci Mikko A. Heikkilä David Solans Noguero Anna Monreale Nicolas Kourtellis FedML 31 3 0 21 Jul 2024
Operationalizing a Threat Model for Red-Teaming Large Language Models (LLMs) Apurv Verma Satyapriya Krishna Sebastian Gehrmann Madhavan Seshadri Anu Pradhan Tom Ault Leslie Barrett David Rabinowitz John Doucette Nhathai Phan 47 8 0 20 Jul 2024
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie Samira Samadi 21 1 0 17 Jul 2024
10 Years of Fair Representations: Challenges and Opportunities Mattia Cerrato Marius Köppel Philipp Wolf Stefan Kramer FaML 23 1 0 04 Jul 2024
Decision-Focused Evaluation of Worst-Case Distribution Shift Kevin Ren Yewon Byun Bryan Wilder OffRL 27 1 0 04 Jul 2024