On Fairness and Calibration

6 September 2017

Papers citing "On Fairness and Calibration"

50 / 184 papers shown

Title
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 40 0 0 23 Apr 2025
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training Jiaheng Liu Xiaoqian Jiang Xuzhao Li Bohan Zhang Jing Zhang 37 0 0 12 Apr 2025
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Zou Linjun Zhang FaML 98 4 0 13 Mar 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 92 1 0 17 Feb 2025
Understanding the Capabilities and Limitations of Weak-to-Strong Generalization Wei Yao Wenkai Yang Ziyi Wang Yankai Lin Yong Liu ELM 116 2 0 03 Feb 2025
Early Failure Detection in Autonomous Surgical Soft-Tissue Manipulation via Uncertainty Quantification Jordan Thompson Ronald Koe Anthony Le Gabriella Goodman Daniel S. Brown Alan Kuntz 60 1 0 17 Jan 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 64 0 0 10 Jan 2025
An experimental study on fairness-aware machine learning for credit scoring problem Huyen Giang Thi Thu Thang Viet Doan Tai Le Quy FaML 52 0 0 31 Dec 2024
Impact of Data Distribution on Fairness Guarantees in Equitable Deep Learning Yan Luo Congcong Wen Min Shi Hao Huang Yi Fang Mengyu Wang FedML 26 0 0 31 Dec 2024
Does calibration mean what they say it means; or, the reference class problem rises again Lily Hu FaML 81 0 0 21 Dec 2024
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning Caleb J. S. Barr Olivia Erdelyi Paul D. Docherty Randolph C. Grace FaML 82 0 0 10 Nov 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
Cherry on the Cake: Fairness is NOT an Optimization Problem Marco Favier T. Calders 29 1 0 24 Jun 2024
Balanced Mixed-Type Tabular Data Synthesis with Diffusion Models Zeyu Yang Peikun Guo Khadija Zanna Akane Sano Xiaoxue Yang Akane Sano DiffM 36 8 0 12 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 41 8 0 26 Mar 2024
FairSTG: Countering performance heterogeneity via collaborative sample-level optimization Gengyu Lin Zhen-Qiang Zhou Qihe Huang Kuo Yang Shifen Cheng Yang Wang AI4TS 32 1 0 19 Mar 2024
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms Haoyu Lei Amin Gohari Farzan Farnia FaML 37 1 0 28 Feb 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris Agathe Fernandes Machado Franccois Hu Philipp Ratz Ewen Gallic Arthur Charpentier 45 1 0 29 Jan 2024
Learning Fair Policies for Multi-stage Selection Problems from Observational Data Zhuangzhuang Jia G. A. Hanasusanto P. Vayanos Weijun Xie FaML 23 2 0 20 Dec 2023
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 52 2 0 07 Dec 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 45 1 0 10 Nov 2023
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 32 6 0 31 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 21 2 0 16 Oct 2023
Unveiling Fairness Biases in Deep Learning-Based Brain MRI Reconstruction Yuning Du Yuyang Xue R. Dharmakumar Sotirios A. Tsaftaris 27 6 0 25 Sep 2023
Developing A Fair Individualized Polysocial Risk Score (iPsRS) for Identifying Increased Social Risk of Hospitalizations in Patients with Type 2 Diabetes (T2D) Yu Huang Jingchuan Guo W. Donahoo Zhengkang Fan Ying Lu Wei-Han Chen Huilin Tang Lori Bilello E. Shenkman Jiang Bian 26 0 0 05 Sep 2023
Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness Neil Menghani E. McFowland Daniel B. Neill 27 0 0 19 Jun 2023
Matched Pair Calibration for Ranking Fairness Hannah Korevaar Christopher McConnell Edmund Tong Erik Brinkman Alana Shine Misam Abbas Blossom Metevier S. Corbett-Davies Khalid El-Arini 24 1 0 06 Jun 2023
Causality-Aided Trade-off Analysis for Machine Learning Fairness Zhenlan Ji Pingchuan Ma Shuai Wang Yanhui Li FaML 39 7 0 22 May 2023
Fairness in AI and Its Long-Term Implications on Society Ondrej Bohdal Timothy M. Hospedales Philip Torr Fazl Barez 20 4 0 16 Apr 2023
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models Eslam Mohamed Bakr Pengzhan Sun Xiaoqian Shen Faizan Farooq Khan Li Erran Li Mohamed Elhoseiny VLM 29 76 0 11 Apr 2023
Connecting Fairness in Machine Learning with Public Health Equity Shaina Raza 31 5 0 08 Apr 2023
Addressing Biases in the Texts using an End-to-End Pipeline Approach Shaina Raza Syed Raza Bashir Sneha Urooj Qamar 38 0 0 13 Mar 2023
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? Fanny Jourdan Titon Tshiongo Kaninku Nicholas M. Asher Jean-Michel Loubes Laurent Risser FaML 28 4 0 27 Feb 2023
Uncertainty Injection: A Deep Learning Method for Robust Optimization W. Cui Wei Yu UQCV OOD 27 6 0 23 Feb 2023
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification Tianci Liu Haoyu Wang Yaqing Wang Xiaoqian Wang Lu Su Jing Gao 43 6 0 19 Feb 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 37 1 0 17 Feb 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview Arjun Roy J. Horstmann Eirini Ntoutsi FaML 21 20 0 12 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 35 17 0 05 Feb 2023
Fair Spatial Indexing: A paradigm for Group Spatial Fairness Sina shaham Gabriel Ghinita Cyrus Shahabi 31 0 0 05 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 41 21 0 02 Feb 2023
Bipol: Multi-axes Evaluation of Bias with Explainability in Benchmark Datasets Tosin Adewumi Isabella Sodergren Lama Alkhaled Sana Sabah Sabry F. Liwicki Marcus Liwicki 41 4 0 28 Jan 2023
Evaluate underdiagnosis and overdiagnosis bias of deep learning model on primary open-angle glaucoma diagnosis in under-served patient populations Mingquan Lin Yuyun Xiao Bojian Hou Tingyi Wanyan M. Sharma Zhangyang Wang Fei Wang S. V. Tassel Yifan Peng 28 5 0 26 Jan 2023
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 32 2 0 25 Jan 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting P. Sattigeri S. Ghosh Inkit Padhi Pierre Dognin Kush R. Varshney FaML 27 28 0 13 Dec 2022
Towards Understanding Fairness and its Composition in Ensemble Machine Learning Usman Gohar Sumon Biswas Hridesh Rajan FaML FedML 16 24 0 08 Dec 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 42 22 0 23 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays Amelia Jiménez-Sánchez Dovile Juodelye B. Chamberlain Veronika Cheplygina 10 14 0 08 Nov 2022
Fair Visual Recognition via Intervention with Proxy Features Yi Zhang Jitao Sang Junyan Wang 25 1 0 02 Nov 2022
On Feature Learning in the Presence of Spurious Correlations Pavel Izmailov Polina Kirichenko Nate Gruver A. Wilson 43 118 0 20 Oct 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles Ling Tal Arbel Boyu Wang Christian Gagné 51 37 0 19 Oct 2022