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
Federated Binary Matrix Factorization using Proximal Optimization Sebastian Dalleiger Jilles Vreeken Michael Kamp FedML 21 0 0 01 Jul 2024
OxonFair: A Flexible Toolkit for Algorithmic Fairness Eoin Delaney Zihao Fu Sandra Wachter Brent Mittelstadt Chris Russell FaML 43 3 0 30 Jun 2024
Fair Clustering: Critique, Caveats, and Future Directions John Dickerson Seyed-Alireza Esmaeili Jamie Morgenstern Claire Jie Zhang FaML 25 1 0 22 Jun 2024
MOUNTAINEER: Topology-Driven Visual Analytics for Comparing Local Explanations Parikshit Solunke Vitória Guardieiro Joao Rulff Peter Xenopoulos G. Chan Brian Barr L. G. Nonato Claudio Silva 25 1 0 21 Jun 2024
When is Multicalibration Post-Processing Necessary? Dutch Hansen Siddartha Devic Preetum Nakkiran Vatsal Sharan 31 4 0 10 Jun 2024
A Taxonomy of Challenges to Curating Fair Datasets Dora Zhao M. Scheuerman Pooja Chitre Jerone T. A. Andrews Georgia Panagiotidou Shawn Walker Kathleen H. Pine Alice Xiang 34 2 0 10 Jun 2024
Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials Jonathan Scott Áine Cahill FedML 21 0 0 04 Jun 2024
Learning from Streaming Data when Users Choose Jinyan Su Sarah Dean FedML 41 1 0 03 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift Jiayun Wu Jiashuo Liu Peng Cui Zhiwei Steven Wu 22 1 0 02 Jun 2024
Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable Martín Bertrán Shuai Tang Michael Kearns Jamie Morgenstern Aaron Roth Zhiwei Steven Wu AAML 24 5 0 30 May 2024
The Data Minimization Principle in Machine Learning Prakhar Ganesh Cuong Tran Reza Shokri Ferdinando Fioretto 19 4 0 29 May 2024
Back to the Drawing Board for Fair Representation Learning Angeline Pouget Nikola Jovanović Mark Vero Robin Staab Martin Vechev 16 0 0 28 May 2024
Probabilistic Verification of Neural Networks using Branch and Bound David Boetius Stefan Leue Tobias Sutter 34 0 0 27 May 2024
Private Regression via Data-Dependent Sufficient Statistic Perturbation Cecilia Ferrando Daniel Sheldon 32 0 0 23 May 2024
A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results K. Makhlouf Tamara Stefanovic Héber H. Arcolezi C. Palamidessi 25 3 0 23 May 2024
Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions Tian Xie Xueru Zhang 27 2 0 12 May 2024
Aequitas Flow: Streamlining Fair ML Experimentation Sérgio Jesus Pedro Saleiro Ines Oliveira e Silva Beatriz M. Jorge Rita P. Ribeiro João Gama P. Bizarro Rayid Ghani 19 2 0 09 May 2024
Stability Evaluation via Distributional Perturbation Analysis Jose H. Blanchet Peng Cui Jiajin Li Jiashuo Liu 28 0 0 06 May 2024
Non-linear Welfare-Aware Strategic Learning Tian Xie Xueru Zhang 27 5 0 03 May 2024
Multigroup Robustness Lunjia Hu Charlotte Peale Judy Hanwen Shen OOD 21 1 0 01 May 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 33 2 0 30 Apr 2024
Conformal Prediction with Learned Features Shayan Kiyani George Pappas Hamed Hassani 21 7 0 26 Apr 2024
Lazy Data Practices Harm Fairness Research Jan Simson Alessandro Fabris Christoph Kern 16 5 0 26 Apr 2024
Unlawful Proxy Discrimination: A Framework for Challenging Inherently Discriminatory Algorithms Hilde Weerts Aislinn Kelly-Lyth Reuben Binns Jeremias Adams-Prassl 13 1 0 22 Apr 2024
Utility-Fairness Trade-Offs and How to Find Them Sepehr Dehdashtian Bashir Sadeghi Vishnu Naresh Boddeti 33 6 0 15 Apr 2024
Generalization Error Bounds for Learning under Censored Feedback Yifan Yang Ali Payani Parinaz Naghizadeh Ardabili 21 0 0 14 Apr 2024
Post-Hoc Reversal: Are We Selecting Models Prematurely? Rishabh Ranjan Saurabh Garg Mrigank Raman Carlos Guestrin Zachary Chase Lipton 27 0 0 11 Apr 2024
Elephants Never Forget: Memorization and Learning of Tabular Data in Large Language Models Sebastian Bordt Harsha Nori Vanessa Rodrigues Besmira Nushi Rich Caruana 36 12 0 09 Apr 2024
Initial Exploration of Zero-Shot Privacy Utility Tradeoffs in Tabular Data Using GPT-4 Bishwas Mandal G. Amariucai Shuangqing Wei 19 1 0 07 Apr 2024
AAA: an Adaptive Mechanism for Locally Differential Private Mean Estimation Fei Wei Ergute Bao Xiaokui Xiao Yin Yang Bolin Ding 18 4 0 02 Apr 2024
Auditing Fairness under Unobserved Confounding Yewon Byun Dylan Sam Michael Oberst Zachary Chase Lipton Bryan Wilder 19 5 0 18 Mar 2024
Elephants Never Forget: Testing Language Models for Memorization of Tabular Data Sebastian Bordt Harsha Nori Rich Caruana LMTD 30 13 0 11 Mar 2024
Active Statistical Inference Tijana Zrnic Emmanuel J. Candès 19 10 0 05 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 42 9 0 04 Mar 2024
Longitudinal Counterfactuals: Constraints and Opportunities Alexander Asemota Giles Hooker 19 2 0 29 Feb 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 44 0 0 25 Feb 2024
Federated Fairness without Access to Sensitive Groups Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FedML 27 2 0 22 Feb 2024
Bayesian Neural Networks with Domain Knowledge Priors Dylan Sam Rattana Pukdee Daniel P. Jeong Yewon Byun J. Zico Kolter BDL UQCV 30 9 0 20 Feb 2024
A Note on Bias to Complete Jia Xu Mona Diab 39 2 0 18 Feb 2024
Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach Vijay Keswani Anay Mehrotra L. E. Celis FaML 20 0 0 17 Feb 2024
Diversified Ensembling: An Experiment in Crowdsourced Machine Learning Ira Globus-Harris Declan Harrison Michael Kearns Pietro Perona Aaron Roth FedML 14 0 0 16 Feb 2024
Stability and Multigroup Fairness in Ranking with Uncertain Predictions Siddartha Devic Aleksandra Korolova David Kempe Vatsal Sharan 22 4 0 14 Feb 2024
Fairness Auditing with Multi-Agent Collaboration M. Vos Akash Dhasade Jade Garcia Bourrée Anne-Marie Kermarrec Erwan Le Merrer Benoit Rottembourg Gilles Tredan MLAU 10 1 0 13 Feb 2024
Resampling methods for private statistical inference Karan N. Chadha John C. Duchi Rohith Kuditipudi 22 2 0 11 Feb 2024
A Bias-Variance Decomposition for Ensembles over Multiple Synthetic Datasets Ossi Raisa Antti Honkela 67 0 0 06 Feb 2024
Multi-group Learning for Hierarchical Groups Samuel Deng Daniel Hsu AI4CE 20 1 0 01 Feb 2024
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown Aadyaa Maddi Swadhin Routray Alexander Goldberg Giulia Fanti 18 0 0 31 Jan 2024
Privacy-preserving data release leveraging optimal transport and particle gradient descent Konstantin Donhauser Javier Abad Neha Hulkund Fanny Yang 17 4 0 31 Jan 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 8 2 0 23 Jan 2024
Long-Term Fair Decision Making through Deep Generative Models Yaowei Hu Yongkai Wu Lu Zhang FaML 8 1 0 20 Jan 2024