Efficient Fair Principal Component Analysis

12 November 2019

Mohammad Mahdi Kamani

Papers citing "Efficient Fair Principal Component Analysis"

21 / 21 papers shown

Title
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations David Liu Jackie Baek Tina Eliassi-Rad 51 0 0 15 Oct 2023
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 277 493 0 31 Dec 2020
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? Avrim Blum Kevin Stangl FaML 30 87 0 02 Dec 2019
A direct Hamiltonian MCMC approach for reliability estimation Hamed Nikbakht K. Papakonstantinou 20 5 0 09 Sep 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 137 331 0 06 Jun 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness U. Tantipongpipat Samira Samadi Mohit Singh Jamie Morgenstern Santosh Vempala 31 12 0 28 Feb 2019
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 79 9 0 12 Nov 2018
The Price of Fair PCA: One Extra Dimension Samira Samadi U. Tantipongpipat Jamie Morgenstern Mohit Singh Santosh Vempala FaML 105 155 0 31 Oct 2018
Downstream Effects of Affirmative Action Sampath Kannan Aaron Roth Juba Ziani 57 87 0 27 Aug 2018
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 81 125 0 15 Jun 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 161 1,094 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 76 443 0 23 Feb 2018
Convex Formulations for Fair Principal Component Analysis Matt Olfat A. Aswani FaML 24 50 0 11 Feb 2018
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 52 16 0 19 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 149 874 0 06 Sep 2017
From Parity to Preference-based Notions of Fairness in Classification Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi Adrian Weller FaML 68 209 0 30 Jun 2017
Beyond Parity: Fairness Objectives for Collaborative Filtering Sirui Yao Bert Huang FaML 37 365 0 24 May 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 141 1,205 0 26 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 139 4,276 0 07 Oct 2016
Satisfying Real-world Goals with Dataset Constraints Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 58 215 0 24 Jun 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 153 1,978 0 11 Dec 2014