Certifying and removing disparate impact

11 December 2014

Suresh Venkatasubramanian

FaML

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Papers citing "Certifying and removing disparate impact"

27 / 27 papers shown

Title
Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems Jing Nathan Yan Junxiong Wang Jeffrey M. Rzeszotarski Allison Koenecke FaML 65 0 0 26 May 2025
A Generic Framework for Conformal Fairness Aditya T. Vadlamani Anutam Srinivasan Pranav Maneriker Ali Payani Srinivasan Parthasarathy FaML FedML 412 1 0 22 May 2025
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 51 0 0 18 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 167 1 0 09 May 2025
Whence Is A Model Fair? Fixing Fairness Bugs via Propensity Score Matching Kewen Peng Yicheng Yang Hao Zhuo 101 0 0 23 Apr 2025
Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare Yonchanok Khaokaew Flora D. Salim Andreas Züfle Hao Xue Taylor Anderson C. Raina MacIntyre Matthew Scotch David J Heslop AI4CE 68 1 0 11 Apr 2025
BiasCause: Evaluate Socially Biased Causal Reasoning of Large Language Models Tian Xie Tongxin Yin Vaishakh Keshava Xueru Zhang Siddhartha Reddy Jonnalagadda ELM LRM 97 0 0 08 Apr 2025
Simulation-Driven Balancing of Competitive Game Levels with Reinforcement Learning Florian Rupp Manuel Eberhardinger Kai Eckert 72 2 0 24 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 454 1 0 28 Feb 2025
Conformal Prediction Sets Can Cause Disparate Impact Jesse C. Cresswell Bhargava Kumar Yi Sui Mouloud Belbahri FaML 512 1 0 17 Feb 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 103 0 0 03 Feb 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 101 0 0 03 Jan 2025
PFGuard: A Generative Framework with Privacy and Fairness Safeguards Soyeon Kim Yuji Roh Geon Heo Steven Euijong Whang 95 0 0 03 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 71 0 0 02 Oct 2024
Randomized Transport Plans via Hierarchical Fully Probabilistic Design Sarah Boufelja Anthony Quinn Robert Shorten OT 88 0 0 04 Aug 2024
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders Lin Luo Yuri Nakao Mathieu Chollet Hiroya Inakoshi Simone Stumpf 69 1 0 16 Jul 2024
AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI Kaveen Hiniduma Suren Byna J. L. Bez Ravi Madduri 71 7 0 27 Jun 2024
Probabilistic Verification of Neural Networks using Branch and Bound David Boetius Stefan Leue Tobias Sutter 83 1 0 27 May 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 154 0 0 20 Feb 2024
Increasing Fairness via Combination with Learning Guarantees Yijun Bian Kun Zhang FaML 91 2 0 25 Jan 2023
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification Kenji Kobayashi Yuri Nakao FaML 61 8 0 26 Oct 2020
Efficient Fair Principal Component Analysis Mohammad Mahdi Kamani Farzin Haddadpour R. Forsati M. Mahdavi 65 37 0 12 Nov 2019
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities H. S. M. Lim Araz Taeihagh 45 83 0 29 Oct 2019
On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products Kush R. Varshney H. Alemzadeh 113 224 0 05 Oct 2016
Learning Optimized Risk Scores Berk Ustun Cynthia Rudin 155 84 0 01 Oct 2016
A Confidence-Based Approach for Balancing Fairness and Accuracy Benjamin Fish Jeremy Kun Á. Lelkes FaML 199 248 0 21 Jan 2016
Engineering Safety in Machine Learning Kush R. Varshney 65 116 0 16 Jan 2016