Causal Feature Selection for Algorithmic Fairness

10 June 2020

Sainyam Galhotra

Karthikeyan Shanmugam

Papers citing "Causal Feature Selection for Algorithmic Fairness"

23 / 23 papers shown

Title
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 49 2 0 03 Sep 2024
Fairness-Aware Streaming Feature Selection with Causal Graphs Leizhen Zhang Lusi Li Di Wu Sheng Chen Yi He 22 4 0 17 Aug 2024
NeuFair: Neural Network Fairness Repair with Dropout Vishnu Asutosh Dasu Ashish Kumar Saeid Tizpaz-Niari Gang Tan 28 3 0 05 Jul 2024
Mind the Graph When Balancing Data for Fairness or Robustness Jessica Schrouff Alexis Bellot Amal Rannen-Triki Alan Malek Isabela Albuquerque A. Gretton Alexander DÁmour Silvia Chiappa OOD CML 42 1 0 25 Jun 2024
Fair Streaming Feature Selection Zhangling Duan Tianci Li Xingyu Wu Zhaolong Ling Jingye Yang Zhaohong Jia AI4TS 27 0 0 20 Jun 2024
A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta 42 2 0 07 Jun 2024
Evaluating Fair Feature Selection in Machine Learning for Healthcare Md. Rahat Shahriar Zawad Peter Washington FaML 16 0 0 28 Mar 2024
REFRESH: Responsible and Efficient Feature Reselection Guided by SHAP Values Shubham Sharma Sanghamitra Dutta Emanuele Albini Freddy Lecue Daniele Magazzeni Manuela Veloso 34 1 0 13 Mar 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 27 2 0 05 Feb 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Mingming Gong FaML 27 5 0 19 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness Jacy Reese Anthis Victor Veitch 33 12 0 30 Oct 2023
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 25 6 0 21 Jul 2023
Fair Causal Feature Selection Zhaolong Ling Jingxuan Wu Peng Zhou Xingyu Wu Kui Yu Xindong Wu FaML 24 1 0 17 Jun 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 27 2 0 04 May 2023
Designing Equitable Algorithms Alex Chohlas-Wood Madison Coots Sharad Goel Julian Nyarko FaML 14 13 0 17 Feb 2023
A Review of the Role of Causality in Developing Trustworthy AI Systems Niloy Ganguly Dren Fazlija Maryam Badar M. Fisichella Sandipan Sikdar ... Koustav Rudra Manolis Koubarakis Gourab K. Patro W. Z. E. Amri Wolfgang Nejdl CML 39 23 0 14 Feb 2023
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 27 10 0 21 Dec 2022
Learning Counterfactually Invariant Predictors Francesco Quinzan Cecilia Casolo Krikamol Muandet Yucen Luo Niki Kilbertus 36 8 0 20 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 33 159 0 14 Jul 2022
Causal Conceptions of Fairness and their Consequences H. Nilforoshan Johann D. Gaebler Ravi Shroff Sharad Goel FaML 131 45 0 12 Jul 2022
Counterfactual Fairness with Partially Known Causal Graph Aoqi Zuo Susan Wei Tongliang Liu Bo Han Kun Zhang Mingming Gong OOD FaML 19 19 0 27 May 2022
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018