Adaptive Fairness Improvement Based on Causality Analysis

15 September 2022

Papers citing "Adaptive Fairness Improvement Based on Causality Analysis"

12 / 12 papers shown

Title
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 42 0 0 03 Jan 2025
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software Zhenpeng Chen Xinyue Li J. Zhang Federica Sarro Yang Liu FaML 75 2 0 11 Dec 2024
NeuFair: Neural Network Fairness Repair with Dropout Vishnu Asutosh Dasu Ashish Kumar Saeid Tizpaz-Niari Gang Tan 26 3 0 05 Jul 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 21 2 0 08 Jan 2024
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach Zhenlan Ji Pingchuan Ma Zongjie Li Shuai Wang 29 21 0 10 Oct 2023
Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version) Pingchuan Ma Zhenlan Ji Peisen Yao Shuai Wang Kui Ren 36 2 0 11 Sep 2023
Bias Behind the Wheel: Fairness Analysis of Autonomous Driving Systems Xinyue Li Zhenpeng Chen Jie M. Zhang Federica Sarro Y. Zhang Xuanzhe Liu 12 4 0 05 Aug 2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We? Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 38 4 0 25 Jul 2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework Simiao Zhang Jitao Bai Menghong Guan Yihao Huang Yueling Zhang Jun Sun G. Pu FaML 16 1 0 21 Jul 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 31 7 0 22 May 2023
Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking Zichong Wang Yangze Zhou M. Qiu I. Haque Laura Brown Yi He Jianwu Wang David Lo Wenbin Zhang FaML 23 23 0 16 Feb 2023
A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers Zhenpeng Chen Jie M. Zhang Federica Sarro Mark Harman FaML 10 67 0 07 Jul 2022