Fair Machine Learning

FaML

Promotes ethical AI by ensuring models are fair, interpretable, and responsible. Addresses biases and builds trust in AI systems.

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Uncovering Discrimination Clusters: Quantifying and Explaining Systematic Fairness Violations Ranit Debnath Akash Ashish Kumar Verya Monjezi Ashutosh Trivedi Gang Saeid Tizpaz-Niari FaML 164 0 0 29 Dec 2025
FairExpand: Individual Fairness on Graphs with Partial Similarity Information Rebecca Salganik Yibin Wang Guillaume Salha-Galvan Jian Kang FaML 212 0 0 20 Dec 2025
OxEnsemble: Fair Ensembles for Low-Data Classification Jonathan Rystrøm Zihao Fu Chris Russell FaML 212 0 0 10 Dec 2025
Metric-Fair Prompting: Treating Similar Samples Similarly Jing Wang Jie Shen Xing Niu Tong Zhang Jeremy Weiss FaML 264 0 0 08 Dec 2025
Interpretable Fair Clustering Mudi Jiang Jiahui Zhou Xinying Liu Zengyou He Zhikui Chen FaML 205 0 0 26 Nov 2025
More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering Duc Anh Vu T. Nguyen Cong-Duy Nguyen Viet-Anh Nguyen Anh Tuan Luu FaML LRM 334 0 0 25 Nov 2025
CARE-RAG - Clinical Assessment and Reasoning in RAG Deepthi Potluri Aby M. Mathew Jeffrey B DeWitt Alexander Rasgon Yide Hao Junyuan Hong Ying Ding FaML 190 0 0 20 Nov 2025
Learning Fair Representations with Kolmogorov-Arnold Networks Amisha Priyadarshini Sergio Gago Masagué FaML 508 0 0 14 Nov 2025
Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications Diptarka Chakraborty Kushagra Chatterjee Debarati Das Tien Long Nguyen FaML FedML 594 0 0 14 Nov 2025
When Are Learning Biases Equivalent? A Unifying Framework for Fairness, Robustness, and Distribution Shift Sushant Mehta FaML FedML 264 0 0 09 Nov 2025
Alternative Fairness and Accuracy Optimization in Criminal Justice Shaolong Wu James Blume Geshi Yeung FaML 640 0 0 06 Nov 2025
Toward Unifying Group Fairness Evaluation from a Sparsity Perspective Zhecheng Sheng Jiawei Zhang Enmao Diao FaML 276 0 0 01 Nov 2025
FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance Minh Phu Vuong Young Ju-Lee Iván Ojeda-Ruiz Chul-Ho Lee FaML 269 0 0 31 Oct 2025
flowengineR: A Modular and Extensible Framework for Fair and Reproducible Workflow Design in R Maximilian Willer Peter Ruckdeschel FaML 182 0 0 29 Oct 2025
On the Societal Impact of Machine Learning Joachim Baumann FaML 225 0 0 27 Oct 2025
Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space Sofoklis Kitharidis Cor J. Veenman Thomas Bäck Niki van Stein FaML 301 0 0 25 Oct 2025
Online Multi-Class Selection with Group Fairness Guarantee Faraz Zargari Hossein Nekouyan Lyndon Hallett Bo Sun Xiaoqi Tan FaML 167 0 0 23 Oct 2025
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference Yuhong Luo Austin Hoag Xintong Wang Philip S Thomas Przemyslaw A. Grabowicz FaML 277 0 0 23 Oct 2025
FairNet: Dynamic Fairness Correction without Performance Loss via Contrastive Conditional LoRA Songqi Zhou Zeyuan Liu Benben Jiang FaML 181 0 0 22 Oct 2025
FairGRPO: Fair Reinforcement Learning for Equitable Clinical Reasoning Shiqi Dai Wei Dai Jiaee Cheong Paul Liang FaML OffRL 194 0 0 22 Oct 2025
Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning Valia Efthymiou Ekaterina Fedorova Chara Podimata FaML 137 0 0 21 Oct 2025
A Justice Lens on Fairness and Ethics Courses in Computing Education: LLM-Assisted Multi-Perspective and Thematic Evaluation Kenya S. Andrews Deborah Dormah Kanubala Kehinde Aruleba Francisco Enrique Vicente Castro Renata A Revelo FaML AILaw 222 0 0 21 Oct 2025
Adversary-Free Counterfactual Prediction via Information-Regularized Representations Shiqin Tang Rong Feng Shuxin Zhuang Hongzong Li Youzhi Zhang OOD FaML 210 0 0 17 Oct 2025
Evidence Without Injustice: A New Counterfactual Test for Fair Algorithms Michele Loi M. Bello N. Cangiotti FaML MLAU 383 0 0 10 Oct 2025
PyCFRL: A Python library for counterfactually fair offline reinforcement learning via sequential data preprocessing Jianhan Zhang Jitao Wang C. Shi John D. Piette Donglin Zeng Zhenke Wu OffRL FaML OnRL 217 0 0 08 Oct 2025
Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification Eyal Cohen Christophe Denis Mohamed Hebiri FaML 196 0 0 06 Oct 2025
FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents Yucong Dai Lu Zhang Feng Luo M. Chowdhury Yongkai Wu FaML 222 0 0 05 Oct 2025
FairContrast: Enhancing Fairness through Contrastive learning and Customized Augmenting Methods on Tabular Data Aida Tayebi Ali Khodabandeh Yalabadi Mehdi Yazdani-Jahromi O. Garibay FaML 244 0 0 02 Oct 2025
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation Md Zubair Hao Zheng Nussdorf Jonathan Grayson W. Armstrong Lucy Q. Shen Gabriela Wilson Yu Tian Xingquan Zhu Min Shi FaML 206 0 0 30 Sep 2025
Partial Identification Approach to Counterfactual Fairness Assessment Saeyoung Rho Junzhe Zhang Elias Bareinboim FaML 185 0 0 30 Sep 2025
Accessible, Realistic, and Fair Evaluation of Positive-Unlabeled Learning Algorithms Wei Wang Dong-Dong Wu Ming Li J. Zhang Gang Niu Masashi Sugiyama FaML 162 0 0 29 Sep 2025
Fair Classification by Direct Intervention on Operating Characteristics Kevin Jiang Edgar Dobriban FaML 209 0 0 29 Sep 2025
Two-Sided Fairness in Many-to-One Matching Ayumi Igarashi Naoyuki Kamiyama Yasushi Kawase Warut Suksompong Hanna Sumita Yu Yokoi FaML 179 0 0 28 Sep 2025
Fairness-Aware Reinforcement Learning (FAReL): A Framework for Transparent and Balanced Sequential Decision-Making Alexandra Cimpean Nicole Orzan Catholijn M. Jonker Pieter J. K. Libin A. Nowé FaML OffRL 168 0 0 26 Sep 2025
Interpretable Network-assisted Random Forest+ Tiffany M. Tang Elizaveta Levina Ji Zhu FaML 161 0 0 19 Sep 2025
Detecting Statistically Significant Fairness Violations in Recidivism Forecasting Algorithms Animesh Joshi FaML 150 0 0 18 Sep 2025
On the Regularity and Fairness of Combinatorial Multi-Armed Bandit Xiaoyi Wu Bin Li FaML 240 0 0 15 Sep 2025
Envy-Free but Still Unfair: Envy-Freeness Up To One Item (EF-1) in Personalized Recommendation Amanda A. Aird Ben Armstrong Nicholas Mattei Robin Burke FaML 198 0 0 10 Sep 2025
Bias-Aware Machine Unlearning: Towards Fairer Vision Models via Controllable Forgetting Sai Siddhartha Chary Aylapuram Veeraraju Elluru Shivang Agarwal FaML MU 174 0 0 09 Sep 2025
Inference of Altruism and Intrinsic Rewards in Multi-Agent Systems Victor Villin Christos Dimitrakakis FaML 322 0 0 09 Sep 2025
Machine Learning with Multitype Protected Attributes: Intersectional Fairness through Regularisation Ho Ming Lee Katrien Antonio Benjamin Avanzi Lorenzo Marchi Rui Zhou FaML 299 2 0 09 Sep 2025
Risk-averse Fair Multi-class Classification Darinka Dentcheva Xiangyu Tian FaML 180 0 0 06 Sep 2025
Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden Ainhize Barrainkua Giovanni De Toni Jose A. Lozano Novi Quadrianto FaML 363 0 0 04 Sep 2025
A Primer on Causal and Statistical Dataset Biases for Fair and Robust Image Analysis Charles Jones Ben Glocker CML FaML 216 0 0 04 Sep 2025
Fairness for niche users and providers: algorithmic choice and profile portability Elizabeth McKinnie Anas Buhayh Clement Canel Robin Burke FaML 177 0 0 28 Aug 2025
Multistakeholder Fairness in Tourism: What can Algorithms learn from Tourism Management?Frontiers in Big Data (FBD), 2025 Peter Muellner Anna Schreuer Simone Kopeinik Bernhard Wieser Dominik Kowald FaML 197 0 0 28 Aug 2025
A Feminist Account of Intersectional Algorithmic Fairness Marie Mirsch Laila Wegner Jonas Strube Carmen Leicht-Scholten FaML 184 0 0 25 Aug 2025
Machine Learning for Medicine Must Be Interpretable, Shareable, Reproducible and Accountable by Design Ayyüce Begüm Bektaş Mithat Gönen FaML OOD 208 0 0 22 Aug 2025
Applications and Challenges of Fairness APIs in Machine Learning SoftwareACM Transactions on Software Engineering and Methodology (TOSEM), 2025 Ajoy Das Gias Uddin Shaiful Chowdhury Mostafijur Rahman Akhond Hadi Hemmati FaML 196 0 0 22 Aug 2025
Correct-By-Construction: Certified Individual Fairness through Neural Network Training Ruihan Zhang Jun Sun FaML 224 1 0 21 Aug 2025

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