OmniFair: A Declarative System for Model-Agnostic Group Fairness in
Machine Learning

OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning

13 March 2021

Abolfazl Asudeh

Papers citing "OmniFair: A Declarative System for Model-Agnostic Group Fairness in Machine Learning"

19 / 19 papers shown

Title
A Catalog of Fairness-Aware Practices in Machine Learning Engineering Gianmario Voria Giulia Sellitto Carmine Ferrara Francesco Abate A. Lucia F. Ferrucci Gemma Catolino Fabio Palomba FaML 29 3 0 29 Aug 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 14 2 0 23 Jan 2024
Saturn: An Optimized Data System for Large Model Deep Learning Workloads Kabir Nagrecha Arun Kumar 11 6 0 03 Sep 2023
Fairness and Privacy-Preserving in Federated Learning: A Survey Taki Hasan Rafi Faiza Anan Noor Tahmid Hussain Dong-Kyu Chae FedML 35 39 0 14 Jun 2023
Model Debiasing via Gradient-based Explanation on Representation Jindi Zhang Luning Wang Dan Su Yongxiang Huang Caleb Chen Cao Lei Chen FaML CML 11 2 0 20 May 2023
Non-Invasive Fairness in Learning through the Lens of Data Drift Ke Yang A. Meliou 29 0 0 30 Mar 2023
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 25 10 0 21 Dec 2022
AutoSlicer: Scalable Automated Data Slicing for ML Model Analysis Zifan Liu Evan Rosen P. Suganthan 24 1 0 18 Dec 2022
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data Minghong Fang Jia-Wei Liu Michinari Momma Yi Sun 8 4 0 13 Dec 2022
iFlipper: Label Flipping for Individual Fairness Hantian Zhang Ki Hyun Tae Jaeyoung Park Xu Chu Steven Euijong Whang 27 6 0 15 Sep 2022
RAGUEL: Recourse-Aware Group Unfairness Elimination Aparajita Haldar Teddy Cunningham Hakan Ferhatosmanoglu FaML 24 3 0 30 Aug 2022
Multiple Attribute Fairness: Application to Fraud Detection Meghanath Macha Yadagiri S. Ravindran Deepak Pai A. Narang V. Srivastava 16 1 0 28 Jul 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 31 159 0 14 Jul 2022
Representation Bias in Data: A Survey on Identification and Resolution Techniques N. Shahbazi Yin Lin Abolfazl Asudeh H. V. Jagadish 34 67 0 22 Mar 2022
Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective Steven Euijong Whang Yuji Roh Hwanjun Song Jae-Gil Lee 11 323 0 13 Dec 2021
Auditing the Imputation Effect on Fairness of Predictive Analytics in Higher Education Hadis Anahideh Parian Haghighat Nazanin Nezami Denisa Gándara 19 0 0 13 Sep 2021
Finding Representative Group Fairness Metrics Using Correlation Estimations Hadis Anahideh Nazanin Nezami Abolfazl Asudeh 21 1 0 13 Sep 2021
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification Maliha Tashfia Islam Anna Fariha A. Meliou Babak Salimi FaML 28 24 0 18 Jan 2021
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 36 51 0 06 Jan 2020