Exposing the Probabilistic Causal Structure of Discrimination

v1v2v3 (latest)

Exposing the Probabilistic Causal Structure of Discrimination

2 October 2015

Francesco Bonchi

Daniele Ramazzotti

ArXiv (abs)PDF HTML

Papers citing "Exposing the Probabilistic Causal Structure of Discrimination"

19 / 19 papers shown

Title
Towards A Holistic View of Bias in Machine Learning: Bridging Algorithmic Fairness and Imbalanced Learning Damien Dablain Bartosz Krawczyk Nitesh Chawla FaML 69 23 0 13 Jul 2022
Causal Discovery for Fairness Ruta Binkyt.e-Sadauskien.e K. Makhlouf Carlos Pinzón Sami Zhioua C. Palamidessi CML 78 18 0 14 Jun 2022
Modeling Implicit Bias with Fuzzy Cognitive Maps Gonzalo Nápoles Isel Grau Leonardo Concepción Lisa Koutsoviti Koumeri João Paulo Papa 141 26 0 23 Dec 2021
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 55 27 0 14 Oct 2020
Learning Bayesian networks from demographic and health survey data N. K. Kitson Anthony C. Constantinou CML 76 23 0 02 Dec 2019
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality A. Khademi Sanghack Lee David Foley Vasant Honavar FaML 76 96 0 27 Mar 2019
Probabilistic Causal Analysis of Social Influence Francesco Bonchi Francesco Gullo B. Mishra Daniele Ramazzotti CML 48 4 0 06 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 57 5 0 06 Aug 2018
Open the Black Box Data-Driven Explanation of Black Box Decision Systems D. Pedreschi F. Giannotti Riccardo Guidotti A. Monreale Luca Pappalardo Salvatore Ruggieri Franco Turini 114 38 0 26 Jun 2018
On Discrimination Discovery and Removal in Ranked Data using Causal Graph Yongkai Wu Lu Zhang Xintao Wu FaML CML 41 47 0 05 Mar 2018
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction Nina Grgic-Hlaca Elissa M. Redmiles Krishna P. Gummadi Adrian Weller FaML 83 233 0 26 Feb 2018
Path-Specific Counterfactual Fairness Silvia Chiappa Thomas P. S. Gillam CML FaML 95 341 0 22 Feb 2018
Learning mutational graphs of individual tumour evolution from single-cell and multi-region sequencing data Daniele Ramazzotti Alex Graudenzi Luca De Sano M. Antoniotti G. Caravagna 63 10 0 04 Sep 2017
Avoiding Discrimination through Causal Reasoning Niki Kilbertus Mateo Rojas-Carulla Giambattista Parascandolo Moritz Hardt Dominik Janzing Bernhard Schölkopf FaML CML 119 584 0 08 Jun 2017
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena Daniele Ramazzotti Marco S. Nobile M. Antoniotti Alex Graudenzi CML 43 4 0 08 Mar 2017
Achieving non-discrimination in prediction Lu Zhang Yongkai Wu Xintao Wu FaML 63 32 0 28 Feb 2017
A causal framework for discovering and removing direct and indirect discrimination Lu Zhang Yongkai Wu Xintao Wu CML 76 174 0 22 Nov 2016
Achieving non-discrimination in data release Lu Zhang Yongkai Wu Xintao Wu FaML 136 69 0 22 Nov 2016
PMCE: efficient inference of expressive models of cancer evolution with high prognostic power Fabrizio Angaroni Kevin Chen Chiara Damiani G. Caravagna Alex Graudenzi Daniele Ramazzotti 52 9 0 26 Aug 2014