Cover Image

A Human-in-the-Loop Fairness-Aware Model Selection Framework for Complex Fairness Objective Landscapes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Robertson, Jake, Schmidt, Thorsten, Hutter, Frank, Awad, Noor
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FairPFN: Transformers Can do Counterfactual Fairness
by: Robertson, Jake, et al.
Published: (2024)

FairPFN: A Tabular Foundation Model for Causal Fairness
by: Robertson, Jake, et al.
Published: (2025)

Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator
by: Watanabe, Shuhei, et al.
Published: (2022)

The Unfairness of $\varepsilon$-Fairness
by: Fadina, Tolulope, et al.
Published: (2024)

FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring
by: Möhrlein, Felix, et al.
Published: (2025)

A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam
by: Fernandes, Rean, et al.
Published: (2025)

Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
by: Boonen, Tim J., et al.
Published: (2025)

The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
by: Fawkes, Jake, et al.
Published: (2024)

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)

FairRARI: A Plug and Play Framework for Fairness-Aware PageRank
by: Kariotakis, Emmanouil, et al.
Published: (2026)

Fairness-Aware Estimation of Graphical Models
by: Zhou, Zhuoping, et al.
Published: (2024)

A Model Ensemble-Based Post-Processing Framework for Fairness-Aware Prediction
by: Zhao, Zhouting, et al.
Published: (2026)

Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing
by: Fang, Shiqi, et al.
Published: (2024)

FairTP: A Prolonged Fairness Framework for Traffic Prediction
by: Xia, Jiangnan, et al.
Published: (2024)

Fairness in Ranking under Disparate Uncertainty
by: Rastogi, Richa, et al.
Published: (2023)

Fairness-Aware Streaming Feature Selection with Causal Graphs
by: Zhang, Leizhen, et al.
Published: (2024)

Fair Column Subset Selection
by: Matakos, Antonis, et al.
Published: (2023)

FAIRPLAI: A Human-in-the-Loop Approach to Fair and Private Machine Learning
by: Sanchez Jr., David, et al.
Published: (2025)

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models
by: Wang, Zhihao, et al.
Published: (2024)

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs
by: Wang, Yinong Oliver, et al.
Published: (2025)

A Framework for Fair Evaluation of Variance-Aware Bandit Algorithms
by: Wolf, Elise
Published: (2025)

FairGridSearch: A Framework to Compare Fairness-Enhancing Models
by: Ma, Shih-Chi, et al.
Published: (2024)

Do-PFN: In-Context Learning for Causal Effect Estimation
by: Robertson, Jake, et al.
Published: (2025)

Does TabPFN Understand Causal Structures?
by: Swelam, Omar, et al.
Published: (2025)

Multi-Objective Hierarchical Optimization with Large Language Models
by: Schwanke, Andrej, et al.
Published: (2026)

Fairness Feedback Loops: Training on Synthetic Data Amplifies Bias
by: Wyllie, Sierra, et al.
Published: (2024)

A Unifying Human-Centered AI Fairness Framework
by: Rahman, Munshi Mahbubur, et al.
Published: (2025)

Long-term Fairness with Selective Labels
by: Valdrighi, Giovani, et al.
Published: (2026)

A Generic Framework for Conformal Fairness
by: Vadlamani, Aditya T., et al.
Published: (2025)

Fairness Aware Reward Optimization
by: Choi, Ching Lam, et al.
Published: (2026)

Fair Streaming Feature Selection
by: Duan, Zhangling, et al.
Published: (2024)

FairRAG: Fair Human Generation via Fair Retrieval Augmentation
by: Shrestha, Robik, et al.
Published: (2024)

FairTTTS: A Tree Test Time Simulation Method for Fairness-Aware Classification
by: Cohen-Inger, Nurit, et al.
Published: (2025)

FairGSE: Fairness-Aware Graph Neural Network without High False Positive Rates
by: Ye, Zhenqiang, et al.
Published: (2025)

FairSAM: Fair Classification on Corrupted Data Through Sharpness-Aware Minimization
by: Dai, Yucong, et al.
Published: (2025)

FairAgent: Democratizing Fairness-Aware Machine Learning with LLM-Powered Agents
by: Dai, Yucong, et al.
Published: (2025)

Continuous Fair SMOTE -- Fairness-Aware Stream Learning from Imbalanced Data
by: Lammers, Kathrin, et al.
Published: (2025)

FairFinGAN: Fairness-aware Synthetic Financial Data Generation
by: Quy, Tai Le, et al.
Published: (2026)

Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
by: Zhang, Xuechen, et al.
Published: (2024)

FairReweighing: Density Estimation-Based Reweighing Framework for Improving Separation in Fair Regression
by: Xi, Xiaoyin, et al.
Published: (2025)