FairTargetSim: An Interactive Simulator for Understanding and Explaining the Fairness Effects of Target Variable Definition
Fuente:
arXiv
Saved in:
| Main Authors: | Gala, Dalia, Phillips-Brown, Milo, Goel, Naman, Prunkl, Carinal, Jubete, Laura Alvarez, corcoran, medb, Eitel-Porter, Ray |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Post-Processing-Based Fair Federated Learning Framework
by: Zhou, Yi, et al.
Published: (2025)
by: Zhou, Yi, et al.
Published: (2025)
Fairness Definitions in Language Models Explained
by: Yin, Zhipeng, et al.
Published: (2024)
by: Yin, Zhipeng, et al.
Published: (2024)
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024)
by: Lerner, Emilia Agis, et al.
Published: (2024)
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
by: Liu, Qinyi, et al.
Published: (2026)
by: Liu, Qinyi, et al.
Published: (2026)
Algorithmic neutrality
by: Phillips-Brown, Milo
Published: (2023)
by: Phillips-Brown, Milo
Published: (2023)
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
by: Wang, Zhihao, et al.
Published: (2024)
by: Wang, Zhihao, et al.
Published: (2024)
Targeted Learning for Data Fairness
by: Asemota, Alexander, et al.
Published: (2025)
by: Asemota, Alexander, et al.
Published: (2025)
El proyecto de recuperación de la laguna de La Nava: una iniciativa de éxito
by: Fernando Jubete
Published: (2004)
by: Fernando Jubete
Published: (2004)
BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables
by: Binkyte, Ruta, et al.
Published: (2023)
by: Binkyte, Ruta, et al.
Published: (2023)
On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
by: Goel, Naman
Published: (2023)
by: Goel, Naman
Published: (2023)
Reseña de "Los paisajes agrarios de España. Caracterización, evolución y tipificación" de F. Molinero, J.F. Ojeda y J. Tort (coords.)
by: Fernando Franco Jubete
Published: (2012)
by: Fernando Franco Jubete
Published: (2012)
RISE: Interactive Visual Diagnosis of Fairness in Machine Learning Models
by: Chen, Ray, et al.
Published: (2026)
by: Chen, Ray, et al.
Published: (2026)
Regularizing Fairness in Optimal Policy Learning with Distributional Targets
by: Kock, Anders Bredahl, et al.
Published: (2024)
by: Kock, Anders Bredahl, et al.
Published: (2024)
Hate Speech Detection with Generalizable Target-aware Fairness
by: Chen, Tong, et al.
Published: (2024)
by: Chen, Tong, et al.
Published: (2024)
Understanding Fairness Surrogate Functions in Algorithmic Fairness
by: Yao, Wei, et al.
Published: (2023)
by: Yao, Wei, et al.
Published: (2023)
Fairness-Aware Multi-Group Target Detection in Online Discussion
by: Gupta, Soumyajit, et al.
Published: (2024)
by: Gupta, Soumyajit, et al.
Published: (2024)
Fair Ordering in Replicated Systems via Streaming Social Choice
by: Ramseyer, Geoffrey, et al.
Published: (2023)
by: Ramseyer, Geoffrey, et al.
Published: (2023)
EARN Fairness: Explaining, Asking, Reviewing, and Negotiating Artificial Intelligence Fairness Metrics Among Stakeholders
by: Luo, Lin, et al.
Published: (2024)
by: Luo, Lin, et al.
Published: (2024)
Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment
by: Paraschou, Eva, et al.
Published: (2026)
by: Paraschou, Eva, et al.
Published: (2026)
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
by: Medi, Tejaswini, et al.
Published: (2024)
by: Medi, Tejaswini, et al.
Published: (2024)
Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic Planning
by: Danassis, Panayiotis, et al.
Published: (2025)
by: Danassis, Panayiotis, et al.
Published: (2025)
InsightBoard: An Interactive Multi-Metric Visualization and Fairness Analysis Plugin for TensorBoard
by: Chen, Ray Zeyao, et al.
Published: (2026)
by: Chen, Ray Zeyao, et al.
Published: (2026)
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions
by: Lee, Gordon, et al.
Published: (2025)
by: Lee, Gordon, et al.
Published: (2025)
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift
by: Acevedo, Nicolas, et al.
Published: (2024)
by: Acevedo, Nicolas, et al.
Published: (2024)
DemOpts: Fairness corrections in COVID-19 case prediction models
by: Awasthi, Naman, et al.
Published: (2024)
by: Awasthi, Naman, et al.
Published: (2024)
Who Defines Fairness? Target-Based Prompting for Demographic Representation in Generative Models
by: Nizam, Marzia Binta, et al.
Published: (2026)
by: Nizam, Marzia Binta, et al.
Published: (2026)
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation
by: Kothawade, Suraj, et al.
Published: (2021)
by: Kothawade, Suraj, et al.
Published: (2021)
Assessing the Impact of Case Correction Methods on the Fairness of COVID-19 Predictive Models
by: Smolyak, Daniel, et al.
Published: (2024)
by: Smolyak, Daniel, et al.
Published: (2024)
Fair Division in a Variable Setting
by: Chandramouleeswaran, Harish, et al.
Published: (2024)
by: Chandramouleeswaran, Harish, et al.
Published: (2024)
Uncovering Discrimination Clusters: Quantifying and Explaining Systematic Fairness Violations
by: Akash, Ranit Debnath, et al.
Published: (2025)
by: Akash, Ranit Debnath, et al.
Published: (2025)
Auditing the Fairness of the US COVID-19 Forecast Hub's Case Prediction Models
by: Abrar, Saad Mohammad, et al.
Published: (2024)
by: Abrar, Saad Mohammad, et al.
Published: (2024)
Variable Brane Tension and Dark Energy
by: Kumar, Naman
Published: (2024)
by: Kumar, Naman
Published: (2024)
FedPF: Accurate Target Privacy Preserving Federated Learning Balancing Fairness and Utility
by: Sun, Kangkang, et al.
Published: (2025)
by: Sun, Kangkang, et al.
Published: (2025)
Fair in Mind, Fair in Action? A Synchronous Benchmark for Understanding and Generation in UMLLMs
by: Zhao, Yiran, et al.
Published: (2026)
by: Zhao, Yiran, et al.
Published: (2026)
Fair Allocation of Indivisible Goods with Variable Groups
by: Gölz, Paul, et al.
Published: (2025)
by: Gölz, Paul, et al.
Published: (2025)
Are Models Trained on Indian Legal Data Fair?
by: Girhepuje, Sahil, et al.
Published: (2023)
by: Girhepuje, Sahil, et al.
Published: (2023)
DP-NCB: Privacy Preserving Fair Bandits
by: Sarkar, Dhruv, et al.
Published: (2025)
by: Sarkar, Dhruv, et al.
Published: (2025)
Fairness vs. Equality: RSMA-Based Multi-Target and Multi-User Integrated Sensing and Communications
by: Li, Xudong, et al.
Published: (2025)
by: Li, Xudong, et al.
Published: (2025)
FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)
by: Cohen-Inger, Nurit, et al.
Published: (2025)
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
by: Chohlas-Wood, Alex, et al.
Published: (2021)
by: Chohlas-Wood, Alex, et al.
Published: (2021)
Similar Items
-
A Post-Processing-Based Fair Federated Learning Framework
by: Zhou, Yi, et al.
Published: (2025) -
Fairness Definitions in Language Models Explained
by: Yin, Zhipeng, et al.
Published: (2024) -
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
by: Lerner, Emilia Agis, et al.
Published: (2024) -
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
by: Liu, Qinyi, et al.
Published: (2026) -
Algorithmic neutrality
by: Phillips-Brown, Milo
Published: (2023)