Cover Image

Addressing Polarization and Unfairness in Performative Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jin, Kun, Xie, Tian, Liu, Yang, Zhang, Xueru
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computers and Society
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Cause of Unfairness: A Training Sample Perspective
by: Yao, Yuanshun, et al.
Published: (2023)

Fairness Hacking: The Malicious Practice of Shrouding Unfairness in Algorithms
by: Meding, Kristof, et al.
Published: (2023)

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
by: Zhang, Qingquan, et al.
Published: (2022)

What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning
by: Deng, Zhihong, et al.
Published: (2024)

Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)

Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
by: Xie, Tian, et al.
Published: (2024)

Non-linear Welfare-Aware Strategic Learning
by: Xie, Tian, et al.
Published: (2024)

Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
by: Kwon, Soonwoo, et al.
Published: (2023)

Procedural Fairness Through Decoupling Objectionable Data Generating Components
by: Tang, Zeyu, et al.
Published: (2023)

Addressing Label Leakage in Knowledge Tracing Models
by: Badran, Yahya, et al.
Published: (2024)

Improvement of Applicability in Student Performance Prediction Based on Transfer Learning
by: Zhao, Yan
Published: (2024)

Evaluation of Machine Learning Models in Student Academic Performance Prediction
by: Sandeepa, A. G. R., et al.
Published: (2025)

Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
by: Gohar, Usman, et al.
Published: (2024)

A Comparative Analysis of Student Performance Predictions in Online Courses using Heterogeneous Knowledge Graphs
by: Trask, Thomas, et al.
Published: (2024)

Predicting Learning Performance with Large Language Models: A Study in Adult Literacy
by: Zhang, Liang, et al.
Published: (2024)

Addressing the regulatory gap: moving towards an EU AI audit ecosystem beyond the AI Act by including civil society
by: Hartmann, David, et al.
Published: (2024)

How Strategic Agents Respond: Comparing Analytical Models with LLM-Generated Responses in Strategic Classification
by: Xie, Tian, et al.
Published: (2025)

A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective
by: Moubayed, Abdallah, et al.
Published: (2024)

Explainable AI for Predicting and Understanding Mathematics Achievement: A Cross-National Analysis of PISA 2018
by: Liu, Liu, et al.
Published: (2025)

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends
by: Liu, Hengyu, et al.
Published: (2025)

Predicting Student Dropout Risk With A Dual-Modal Abrupt Behavioral Changes Approach
by: Cheng, Jiabei, et al.
Published: (2025)

Research Superalignment Should Advance Now with Alternating Competence and Conformity Optimization
by: Kim, HyunJin, et al.
Published: (2025)

Survival modeling using deep learning, machine learning and statistical methods: A comparative analysis for predicting mortality after hospital admission
by: Wang, Ziwen, et al.
Published: (2024)

Unlocking Insights Addressing Alcohol Inference Mismatch through Database-Narrative Alignment
by: Bhagat, Sudesh, et al.
Published: (2025)

Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control
by: Liu, Mutong, et al.
Published: (2026)

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport
by: Liu, Pengxi, et al.
Published: (2025)

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification
by: Cooper, A. Feder, et al.
Published: (2023)

3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems
by: Zhang, Liang, et al.
Published: (2024)

Predicting Healthcare Provider Engagement in SMS Campaigns
by: Qureshi, Daanish Aleem, et al.
Published: (2025)

Intersectional Unfairness Discovery
by: Xu, Gezheng, et al.
Published: (2024)

Large Language Models Predict Functional Outcomes after Acute Ischemic Stroke
by: Kapoor, Anjali K., et al.
Published: (2026)

Position: Beyond Sensitive Attributes, ML Fairness Should Quantify Structural Injustice via Social Determinants
by: Tang, Zeyu, et al.
Published: (2025)

Predictive Analytics of Air Alerts in the Russian-Ukrainian War
by: Pavlyshenko, Demian, et al.
Published: (2024)

Zero Shot Health Trajectory Prediction Using Transformer
by: Renc, Pawel, et al.
Published: (2024)

A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender System
by: Baidya, Nikita, et al.
Published: (2026)

Safety challenges of AI in medicine in the era of large language models
by: Wang, Xiaoye, et al.
Published: (2024)

Fairness vs Performance: Characterizing the Pareto Frontier of Algorithmic Decision Systems
by: Wilms, Mieke, et al.
Published: (2026)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction
by: Li, Zhonghang, et al.
Published: (2024)

Mastery Guided Non-parametric Clustering to Scale-up Strategy Prediction
by: Shakya, Anup, et al.
Published: (2024)