Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?

2 December 2019

Papers citing "Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?"

29 / 29 papers shown

Title
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features Hadi Elzayn Emily Black Patrick Vossler Nathanael Jo Jacob Goldin Daniel E. Ho 47 5 0 02 Oct 2023
Superhuman Fairness Omid Memarrast Linh Vu Brian Ziebart FaML 46 2 0 31 Jan 2023
Fairness in Forecasting of Observations of Linear Dynamical Systems Quan Zhou Jakub Mareˇcek Robert Shorten AI4TS 108 5 0 12 Sep 2022
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy Limor Gultchin Vincent Cohen-Addad Sophie Giffard-Roisin Varun Kanade Frederik Mallmann-Trenn 63 4 0 24 May 2022
Domain Adaptation meets Individual Fairness. And they get along Debarghya Mukherjee Felix Petersen Mikhail Yurochkin Yuekai Sun FaML 75 16 0 01 May 2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms Nil-Jana Akpinar Manish Nagireddy Logan Stapleton H. Cheng Haiyi Zhu Steven Wu Hoda Heidari 110 15 0 21 Apr 2022
A study on the distribution of social biases in self-supervised learning visual models Kirill Sirotkin Pablo Carballeira Marcos Escudero-Viñolo 100 19 0 03 Mar 2022
Selection in the Presence of Implicit Bias: The Advantage of Intersectional Constraints Anay Mehrotra Bary S. R. Pradelski Nisheeth K. Vishnoi 36 10 0 03 Feb 2022
On Fair Selection in the Presence of Implicit and Differential Variance V. Emelianov Nicolas Gast Krishna P. Gummadi Patrick Loiseau 69 22 0 10 Dec 2021
Can Information Flows Suggest Targets for Interventions in Neural Circuits? Praveen Venkatesh Sanghamitra Dutta Neil Mehta P. Grover AAML 70 8 0 09 Nov 2021
Adaptive Data Debiasing through Bounded Exploration Yifan Yang Yang Liu Parinaz Naghizadeh FaML 88 7 0 25 Oct 2021
Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification G. Rothblum G. Yona FaML 90 1 0 02 Oct 2021
Fair Representation Learning using Interpolation Enabled Disentanglement Akshita Jha B. Vinzamuri Chandan K. Reddy FedML 130 3 0 31 Jul 2021
Fairness for Image Generation with Uncertain Sensitive Attributes A. Jalal Sushrut Karmalkar Jessica Hoffmann A. Dimakis Eric Price DiffM 69 42 0 23 Jun 2021
Fair Classification with Adversarial Perturbations L. E. Celis Anay Mehrotra Nisheeth K. Vishnoi FaML 60 32 0 10 Jun 2021
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models Ibrahim Alabdulmohsin Mario Lucic 58 22 0 06 Jun 2021
Robust Fairness-aware Learning Under Sample Selection Bias Wei Du Xintao Wu FaML OOD 67 13 0 24 May 2021
Multi-group Agnostic PAC Learnability G. Rothblum G. Yona FaML 134 39 0 20 May 2021
How Costly is Noise? Data and Disparities in Consumer Credit Laura Blattner Scott Nelson 55 43 0 17 May 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 123 25 0 05 Feb 2021
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 129 252 0 15 Nov 2020
Does enforcing fairness mitigate biases caused by subpopulation shift? Subha Maity Debarghya Mukherjee Mikhail Yurochkin Yuekai Sun 153 24 0 06 Nov 2020
Fair Classification with Group-Dependent Label Noise Jialu Wang Yang Liu Caleb C. Levy NoLa 80 104 0 31 Oct 2020
Group Fairness by Probabilistic Modeling with Latent Fair Decisions YooJung Choi Meihua Dang Guy Van den Broeck FaML 87 33 0 18 Sep 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 147 339 0 23 Jun 2020
Fairness in Forecasting and Learning Linear Dynamical Systems Quan-Gen Zhou Jakub Mareˇcek Robert Shorten AI4TS 96 7 0 12 Jun 2020
Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 44 9 0 08 Jun 2020
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 94 37 0 12 Nov 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 80 218 0 19 Jun 2019