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Avoiding Discrimination through Causal Reasoning

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 312 papers shown

Title
Fairness seen as Global Sensitivity Analysis Clément Bénesse Fabrice Gamboa Jean-Michel Loubes Thibaut Boissin 55 16 0 08 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 165 179 0 07 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 160 322 0 22 Feb 2021
Disentangled Representations from Non-Disentangled Models Valentin Khrulkov L. Mirvakhabova Ivan Oseledets Artem Babenko OCL DRL CoGe 59 15 0 11 Feb 2021
A Ranking Approach to Fair Classification Jakob Schoeffer Niklas Kuehl Isabel Valera FaML 65 7 0 08 Feb 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 123 25 0 05 Feb 2021
BeFair: Addressing Fairness in the Banking Sector Alessandro Castelnovo Riccardo Crupi Giulia Del Gamba Greta Greco A. Naseer D. Regoli Beatriz San Miguel González FaML 48 16 0 03 Feb 2021
Agent Incentives: A Causal Perspective Tom Everitt Ryan Carey Eric D. Langlois Pedro A. Ortega Shane Legg CML 67 56 0 02 Feb 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 93 26 0 18 Jan 2021
Entropic Causal Inference: Identifiability and Finite Sample Results Spencer Compton Murat Kocaoglu Kristjan Greenewald Dmitriy A. Katz CML 75 17 0 10 Jan 2021
Outcome-Explorer: A Causality Guided Interactive Visual Interface for Interpretable Algorithmic Decision Making Md. Naimul Hoque Klaus Mueller CML 146 30 0 03 Jan 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 324 500 0 31 Dec 2020
Provably Training Overparameterized Neural Network Classifiers with Non-convex Constraints You-Lin Chen Zhaoran Wang Mladen Kolar 47 0 0 30 Dec 2020
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms Qing Ye Weijun Xie FaML 65 13 0 22 Dec 2020
Removing Spurious Features can Hurt Accuracy and Affect Groups Disproportionately Fereshte Khani Percy Liang FaML 61 66 0 07 Dec 2020
FairBatch: Batch Selection for Model Fairness Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh VLM 99 133 0 03 Dec 2020
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder Hyemi Kim Seungjae Shin Joonho Jang Kyungwoo Song Weonyoung Joo Wanmo Kang Il-Chul Moon BDL CML 87 57 0 24 Nov 2020
Fairness-guided SMT-based Rectification of Decision Trees and Random Forests Jiang Zhang Ivan Beschastnikh Sergey Mechtaev Abhik Roychoudhury 28 8 0 22 Nov 2020
Shortcomings of Counterfactual Fairness and a Proposed Modification Fabian Beigang 21 0 0 14 Nov 2020
An example of prediction which complies with Demographic Parity and equalizes group-wise risks in the context of regression Evgenii Chzhen Nicolas Schreuder FaML 45 4 0 13 Nov 2020
Survey on Causal-based Machine Learning Fairness Notions K. Makhlouf Sami Zhioua C. Palamidessi FaML 151 85 0 19 Oct 2020
Causal Multi-Level Fairness Vishwali Mhasawade R. Chunara 62 27 0 14 Oct 2020
Equitable Allocation of Healthcare Resources with Fair Cox Models Kamrun Naher Keya Rashidul Islam Shimei Pan I. Stockwell James R. Foulds 47 10 0 14 Oct 2020
On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen Amir-Hossein Karimi Umang Bhatt Isabel Valera Adrian Weller Bernhard Schölkopf FaML 168 87 0 13 Oct 2020
Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness Jessie Finocchiaro R. Maio F. Monachou Gourab K. Patro Manish Raghavan Ana-Andreea Stoica Stratis Tsirtsis FaML 158 60 0 12 Oct 2020
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms Gareth Jones James M. Hickey Pietro G. Di Stefano C. Dhanjal Laura C. Stoddart V. Vasileiou FaML 60 21 0 08 Oct 2020
Assessing Classifier Fairness with Collider Bias Zhenlong Xu Ziqi Xu Jixue Liu Debo Cheng Jiuyong Li Lin Liu Adelaide Canada Ziqi Xu Zhenlong Xu contributed equally to this paper CML FaML 26 4 0 08 Oct 2020
Fairness in Machine Learning: A Survey Simon Caton C. Haas FaML 110 654 0 04 Oct 2020
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination Tao Zhang Tianqing Zhu Jing Li Mengde Han Wanlei Zhou Philip S. Yu FaML 84 51 0 25 Sep 2020
Fairness Constraints in Semi-supervised Learning Tao Zhang Tianqing Zhu Mengde Han Jing Li Wanlei Zhou Philip S. Yu FaML 72 7 0 14 Sep 2020
Improving Fair Predictions Using Variational Inference In Causal Models Rik Helwegen Christos Louizos Patrick Forré FaML 61 6 0 25 Aug 2020
The Fairness-Accuracy Pareto Front Susan Wei Marc Niethammer FaML 118 33 0 25 Aug 2020
Bias and Discrimination in AI: a cross-disciplinary perspective Xavier Ferrer Tom van Nuenen Jose Such Mark Coté Natalia Criado FaML 48 148 0 11 Aug 2020
Visual Analysis of Discrimination in Machine Learning Qianwen Wang Zhen Xu Zhutian Chen Yong Wang Shixia Liu Huamin Qu FaML 53 39 0 30 Jul 2020
Distributionally Robust Losses for Latent Covariate Mixtures John C. Duchi Tatsunori Hashimoto Hongseok Namkoong 77 81 0 28 Jul 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen Pfohl Agata Foryciarz N. Shah FaML 120 113 0 20 Jul 2020
A Normative approach to Attest Digital Discrimination Natalia Criado Xavier Ferrer Aran Jose Such FaML 30 3 0 14 Jul 2020
Ensuring Fairness Beyond the Training Data Debmalya Mandal Samuel Deng Suman Jana Jeannette M. Wing Daniel J. Hsu FaML OOD 88 59 0 12 Jul 2020
Algorithmic Fairness in Education René F. Kizilcec Hansol Lee FaML 111 126 0 10 Jul 2020
Machine learning fairness notions: Bridging the gap with real-world applications K. Makhlouf Sami Zhioua C. Palamidessi FaML 68 55 0 30 Jun 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 96 73 0 24 Jun 2020
Algorithmic Decision Making with Conditional Fairness Renzhe Xu Peng Cui Kun Kuang Bo Li Linjun Zhou Zheyan Shen Wei Cui FaML 122 36 0 18 Jun 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 102 60 0 18 Jun 2020
Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context Donald Martin Vinodkumar Prabhakaran Jill A. Kuhlberg A. Smart William S. Isaac FaML 96 41 0 17 Jun 2020
Causal intersectionality for fair ranking Ke Yang Joshua R. Loftus Julia Stoyanovich 71 41 0 15 Jun 2020
Fairness Under Feature Exemptions: Counterfactual and Observational Measures Sanghamitra Dutta Praveen Venkatesh Piotr (Peter) Mardziel Anupam Datta P. Grover 51 17 0 14 Jun 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 86 117 0 14 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 Regression with Wasserstein Barycenters Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil 97 108 0 12 Jun 2020
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Amir-Hossein Karimi Julius von Kügelgen Bernhard Schölkopf Isabel Valera CML 106 181 0 11 Jun 2020