Counterfactual Fairness in Text Classification through Robustness

Sahaj Garg, Vinçent Pérot, Nicole Limtiaco, Ankur Taly, Ed H., Alex Beutel

Type: Preprint

Publication Date: 2018-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1809.10610

View Publication

Locations

arXiv (Cornell University) - View - PDF
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Counterfactual Fairness in Text Classification through Robustness	2019	Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Alex Beutel
+	Counterfactual Fairness in Text Classification through Robustness	2018	Sahaj Garg Vincent Perot Nicole Limtiaco Ankur Taly Ed H. Alex Beutel
+	Measuring Fairness of Text Classifiers via Prediction Sensitivity	2022	Satyapriya Krishna Rahul Gupta Apurv Verma Jwala Dhamala Yada Pruksachatkun Kai-Wei Chang
+	Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness	2023	Zahra Ashktorab Benjamin Hoover Mayank Agarwal Casey Dugan Werner Geyer Hao Yang Mikhail Yurochkin
+	Counterfactual Multi-Token Fairness in Text Classification	2022	Pranay Lohia
+ PDF Chat	Inducing Group Fairness in LLM-Based Decisions	2024	James Atwood Preethi Lahoti Ananth Balashankar Flavien Prost Ahmad Beirami
+	Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods	2022	Mohit Wadhwa Mohan Bhambhani Ashvini Jindal Uma Sawant Ramanujam Madhavan
+	Causal Context Connects Counterfactual Fairness to Robust Prediction and Group Fairness	2023	Jacy Reese Anthis Victor Veitch
+ PDF Chat	Towards counterfactual fairness thorough auxiliary variables	2024	Brian Tian Ziyao Wang Shan He W Ye Ge Sun Yucong Dai Yongkai Wu Ang Li
+	Bursting the Burden Bubble? An Assessment of Sharma et al.'s Counterfactual-based Fairness Metric	2022	Yochem van Rosmalen Florian van der Steen Sebastiaan Jans Daan van der Weijden
+	Statistical Equity: A Fairness Classification Objective	2020	Ninareh Mehrabi Yuzhong Huang Fred Morstatter
+	Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification	2021	Yada Pruksachatkun Satyapriya Krishna Jwala Dhamala Rahul Gupta Kai-Wei Chang
+	Enhancing Model Robustness and Fairness with Causality: A Regularization Approach	2021	Zhao Wang Kai Shu Aron Culotta
+	Enhancing Model Robustness and Fairness with Causality: A Regularization Approach	2021	Zhao Wang Kai Shu Aron Culotta
+	Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification	2020	Robert Adragna Elliot Creager David Madras Richard S. Zemel
+	Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification	2020	Robert Adragna Elliot Creager David Madras Richard S. Zemel
+	Fairness in Machine Learning: A Survey	2020	Simon Caton Christian Haas
+	Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information	2022	Isar Nejadgholi Esma Balkır Kathleen Fraser Svetlana Kiritchenko
+	Towards Procedural Fairness: Uncovering Biases in How a Toxic Language Classifier Uses Sentiment Information	2022	Isar Nejadgholi Esma Balkır Kathleen Fraser Svetlana Kiritchenko
+ PDF Chat	The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning	2024	Jake Fawkes Nic Fishman M. B. Andrews Zachary C. Lipton

Works That Cite This (0)

Action	Title	Year	Authors

Works Cited by This (0)

Action	Title	Year	Authors