A Statistical Test for Probabilistic Fairness

9 December 2020

Papers citing "A Statistical Test for Probabilistic Fairness"

39 / 39 papers shown

Title
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 95 1 0 13 Mar 2024
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 39 62 0 18 Jul 2020
Verifying Individual Fairness in Machine Learning Models Philips George John Deepak Vijaykeerthy Diptikalyan Saha FaML 34 57 0 21 Jun 2020
Auditing ML Models for Individual Bias and Unfairness Songkai Xue Mikhail Yurochkin Yuekai Sun MLAU 68 23 0 11 Mar 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 40 388 0 21 Jan 2020
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning Daniel Kuhn Peyman Mohajerin Esfahani Viet Anh Nguyen Soroosh Shafieezadeh-Abadeh OOD 30 392 0 23 Aug 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 458 4,285 0 23 Aug 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 61 487 0 09 Jul 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 42 120 0 28 Jun 2019
FlipTest: Fairness Testing via Optimal Transport Emily Black Samuel Yeom Matt Fredrikson 110 96 0 21 Jun 2019
Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination Nathan Kallus Xiaojie Mao Angela Zhou FaML 34 156 0 01 Jun 2019
Safety Verification and Robustness Analysis of Neural Networks via Quadratic Constraints and Semidefinite Programming Mahyar Fazlyab M. Morari George J. Pappas AAML 47 227 0 04 Mar 2019
Aequitas: A Bias and Fairness Audit Toolkit Pedro Saleiro Benedict Kuester Loren Hinkson J. London Abby Stevens Ari Anisfeld Kit T. Rodolfa Rayid Ghani 64 320 0 14 Nov 2018
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 76 803 0 03 Oct 2018
Counterfactual Fairness in Text Classification through Robustness Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Chi Alex Beutel 41 258 0 27 Sep 2018
Obtaining fairness using optimal transport theory E. del Barrio Fabrice Gamboa Paula Gordaliza Jean-Michel Loubes FaML 64 181 0 08 Jun 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 108 2,133 0 01 Mar 2018
Structured Optimal Transport David Alvarez-Melis Tommi Jaakkola Stefanie Jegelka OT 37 71 0 17 Dec 2017
Wasserstein Distributionally Robust Optimization and Variation Regularization Rui Gao Xi Chen A. Kleywegt OOD 31 130 0 17 Dec 2017
Image to Image Translation for Domain Adaptation Zak Murez Soheil Kolouri D. Kriegman R. Ramamoorthi Kyungnam Kim OOD 31 528 0 01 Dec 2017
Smooth and Sparse Optimal Transport Mathieu Blondel Vivien Seguy Antoine Rolet OT 42 174 0 17 Oct 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 87 874 0 06 Sep 2017
Multilevel Clustering via Wasserstein Means Nhat Ho X. Nguyen Mikhail Yurochkin Hung Bui Viet Huynh Dinh Q. Phung 26 145 0 13 Jun 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art R. Berk Hoda Heidari S. Jabbari Michael Kearns Aaron Roth 30 990 0 27 Mar 2017
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment Muhammad Bilal Zafar Isabel Valera Manuel Gomez Rodriguez Krishna P. Gummadi FaML 92 1,204 0 26 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 278 2,098 0 24 Oct 2016
Robust Wasserstein Profile Inference and Applications to Machine Learning Jose H. Blanchet Yang Kang Karthyek Murthy OOD 50 331 0 18 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 76 4,276 0 07 Oct 2016
Convex Histogram-Based Joint Image Segmentation with Regularized Optimal Transport Cost Nicolas Papadakis Julien Rabin OT 28 16 0 05 Oct 2016
A Transportation $L^p$ Distance for Signal Analysis Matthew Thorpe Serim Park Soheil Kolouri Gustavo K. Rohde D. Slepčev OT 46 40 0 27 Sep 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 73 1,762 0 19 Sep 2016
Wasserstein Discriminant Analysis Rémi Flamary Marco Cuturi Nicolas Courty A. Rakotomamonjy 30 101 0 29 Aug 2016
Stochastic Optimization for Large-scale Optimal Transport Aude Genevay Marco Cuturi Gabriel Peyré Francis R. Bach OT 47 464 0 27 May 2016
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 51 1,112 0 02 Jul 2015
Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric Vivien Seguy Marco Cuturi OT 25 72 0 26 Jun 2015
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 81 1,978 0 11 Dec 2014
Automated Experiments on Ad Privacy Settings: A Tale of Opacity, Choice, and Discrimination Amit Datta Michael Carl Tschantz Anupam Datta 35 731 0 27 Aug 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 91 4,210 0 04 Jun 2013
Convergence of latent mixing measures in finite and infinite mixture models X. Nguyen 74 183 0 15 Sep 2011