Copertina

Unfair Utilities and First Steps Towards Improving Them

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Jørgensen, Frederik Hytting, Weichwald, Sebastian, Peters, Jonas
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

What is causal about causal models and representations?
di: Jørgensen, Frederik Hytting, et al.
Pubblicazione: (2025)

Causal Foundations of Collective Agency
di: Jørgensen, Frederik Hytting, et al.
Pubblicazione: (2026)

Intersectional Unfairness Discovery
di: Xu, Gezheng, et al.
Pubblicazione: (2024)

Utility-Fairness Trade-Offs and How to Find Them
di: Dehdashtian, Sepehr, et al.
Pubblicazione: (2024)

Fairness Incentives in Response to Unfair Dynamic Pricing
di: Thibodeau, Jesse, et al.
Pubblicazione: (2024)

When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations
di: Liu, David, et al.
Pubblicazione: (2023)

Addressing Polarization and Unfairness in Performative Prediction
di: Jin, Kun, et al.
Pubblicazione: (2024)

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

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

Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past
di: Thams, Nikolaj, et al.
Pubblicazione: (2022)

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

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

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

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

Achievable Fairness on Your Data With Utility Guarantees
di: Taufiq, Muhammad Faaiz, et al.
Pubblicazione: (2024)

Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
di: Catarino, Andre, et al.
Pubblicazione: (2025)

Stronger Baseline Models -- A Key Requirement for Aligning Machine Learning Research with Clinical Utility
di: Wolfrath, Nathan, et al.
Pubblicazione: (2024)

Fantastic Biases (What are They) and Where to Find Them
di: Barriere, Valentin
Pubblicazione: (2024)

Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine
di: Salih, Ahmed M
Pubblicazione: (2024)

The Course Difficulty Analysis Cookbook
di: Baucks, Frederik, et al.
Pubblicazione: (2025)

Fantastic Copyrighted Beasts and How (Not) to Generate Them
di: He, Luxi, et al.
Pubblicazione: (2024)

"bot lane noob" Towards Deployment of NLP-based Toxicity Detectors in Video Games
di: Ave, Jonas, et al.
Pubblicazione: (2026)

Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Programs
di: Escamilla, Jose E. Aguilar, et al.
Pubblicazione: (2026)

Learning Linear Utility Functions From Pairwise Comparison Queries
di: Ge, Luise, et al.
Pubblicazione: (2024)

ChatGPT in Linear Algebra: Strides Forward, Steps to Go
di: Bagno, Eli, et al.
Pubblicazione: (2024)

Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
di: Holstege, Floris, et al.
Pubblicazione: (2025)

All or None: Identifiable Linear Properties of Next-token Predictors in Language Modeling
di: Marconato, Emanuele, et al.
Pubblicazione: (2024)

Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic Reasoning
di: Zhao, Yibo, et al.
Pubblicazione: (2025)

Unsafe2Safe: Controllable Image Anonymization for Downstream Utility
di: Dinh, Mih, et al.
Pubblicazione: (2026)

When Can Memorization Improve Fairness?
di: Pepin, Bob, et al.
Pubblicazione: (2024)

Proportional Fairness in Clustering: A Social Choice Perspective
di: Kellerhals, Leon, et al.
Pubblicazione: (2023)

Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning
di: Baucks, Frederik, et al.
Pubblicazione: (2024)

What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds
di: Bothmann, Ludwig, et al.
Pubblicazione: (2022)

Navigating Towards Fairness with Data Selection
di: Zhang, Yixuan, et al.
Pubblicazione: (2024)

Early Prediction of In-Hospital ICU Mortality Using Innovative First-Day Data: A Review
di: Huang, Baozhu, et al.
Pubblicazione: (2025)

Fair for a few: Improving Fairness in Doubly Imbalanced Datasets
di: Yalcin, Ata, et al.
Pubblicazione: (2025)

Data Acquisition for Improving Model Fairness using Reinforcement Learning
di: Hasan, Jahid, et al.
Pubblicazione: (2024)

Improving the accuracy of food security predictions by integrating conflict data
di: Bertetti, Marco, et al.
Pubblicazione: (2024)

Optimizing Mastery Learning by Fast-Forwarding Over-Practice Steps
di: Xia, Meng, et al.
Pubblicazione: (2025)

Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse
di: Liu, Ryan, et al.
Pubblicazione: (2024)