Incorporating Fairness Constraints into Archetypal Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Alcacer, Aleix, Epifanio, Irene |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Archetypal cases for questionnaires with nominal multiple choice questions
by: Alcacer, Aleix, et al.
Published: (2026)
by: Alcacer, Aleix, et al.
Published: (2026)
A Survey on Archetypal Analysis
by: Alcacer, Aleix, et al.
Published: (2025)
by: Alcacer, Aleix, et al.
Published: (2025)
Biarchetype analysis: simultaneous learning of observations and features based on extremes
by: Alcacer, Aleix, et al.
Published: (2023)
by: Alcacer, Aleix, et al.
Published: (2023)
Representing asymmetric relationships by h-plots. Discovering the archetypal patterns of cross-journal citation relationships
by: Alcacer, Aleix, et al.
Published: (2026)
by: Alcacer, Aleix, et al.
Published: (2026)
Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
by: Alcacer, Aleix, et al.
Published: (2025)
by: Alcacer, Aleix, et al.
Published: (2025)
Archetypal Analysis++: Rethinking the Initialization Strategy
by: Mair, Sebastian, et al.
Published: (2023)
by: Mair, Sebastian, et al.
Published: (2023)
Archetypal Analysis for Binary Data
by: Wedenborg, A. Emilie J., et al.
Published: (2025)
by: Wedenborg, A. Emilie J., et al.
Published: (2025)
Modeling Human Responses by Ordinal Archetypal Analysis
by: Wedenborg, Anna Emilie J., et al.
Published: (2024)
by: Wedenborg, Anna Emilie J., et al.
Published: (2024)
Ablating Archetypes: The Stability of Archetypal SAEs is an Artifact of Initialization and Metric Design
by: Brzozowski, Michał, et al.
Published: (2026)
by: Brzozowski, Michał, et al.
Published: (2026)
Incorporating Fairness in Neighborhood Graphs for Fair Spectral Clustering
by: Moorthy, Adithya K, et al.
Published: (2025)
by: Moorthy, Adithya K, et al.
Published: (2025)
Sparse NMF with Archetypal Regularization: Computational and Robustness Properties
by: Behdin, Kayhan, et al.
Published: (2021)
by: Behdin, Kayhan, et al.
Published: (2021)
Projected Boosting with Fairness Constraints: Quantifying the Cost of Fair Training Distributions
by: Asiaee, Amir, et al.
Published: (2026)
by: Asiaee, Amir, et al.
Published: (2026)
Accelerating Spectral Clustering under Fairness Constraints
by: Tonin, Francesco, et al.
Published: (2025)
by: Tonin, Francesco, et al.
Published: (2025)
Selection of the Best Policy under Fairness Constraints for Subpopulations
by: Zhu, Tingyu, et al.
Published: (2026)
by: Zhu, Tingyu, et al.
Published: (2026)
Fairness Constraints in High-Dimensional Generalized Linear Models
by: Lin, Yixiao, et al.
Published: (2026)
by: Lin, Yixiao, et al.
Published: (2026)
Level the Level: Balancing Game Levels for Asymmetric Player Archetypes With Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2025)
by: Rupp, Florian, et al.
Published: (2025)
Set to Be Fair: Demographic Parity Constraints for Set-Valued Classification
by: Cohen, Eyal, et al.
Published: (2025)
by: Cohen, Eyal, et al.
Published: (2025)
Fairness of Classifiers in the Presence of Constraints between Features
by: Cooper, Martin C., et al.
Published: (2026)
by: Cooper, Martin C., et al.
Published: (2026)
Optimal Transport under Group Fairness Constraints
by: Bleistein, Linus, et al.
Published: (2026)
by: Bleistein, Linus, et al.
Published: (2026)
Structural Pass Analysis in Football: Learning Pass Archetypes and Tactical Impact from Spatio-Temporal Tracking Data
by: Karakuş, Oktay, et al.
Published: (2026)
by: Karakuş, Oktay, et al.
Published: (2026)
Fair Risk Minimization under Causal Path-Specific Effect Constraints
by: Nabi, Razieh, et al.
Published: (2024)
by: Nabi, Razieh, et al.
Published: (2024)
Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls
by: Nakis, Nikolaos, et al.
Published: (2026)
by: Nakis, Nikolaos, et al.
Published: (2026)
Lattice: A Confidence-Gated Hybrid System for Uncertainty-Aware Sequential Prediction with Behavioral Archetypes
by: Bannis, Lorian
Published: (2026)
by: Bannis, Lorian
Published: (2026)
Investigating Data Interventions for Subgroup Fairness: An ICU Case Study
by: Tan, Erin, et al.
Published: (2026)
by: Tan, Erin, et al.
Published: (2026)
Fair Clustering with Minimum Representation Constraints
by: Lawless, Connor, et al.
Published: (2024)
by: Lawless, Connor, et al.
Published: (2024)
Optimal Fair Aggregation of Crowdsourced Noisy Labels using Demographic Parity Constraints
by: Singer, Gabriel, et al.
Published: (2026)
by: Singer, Gabriel, et al.
Published: (2026)
Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions
by: Diepeveen, Willem, et al.
Published: (2026)
by: Diepeveen, Willem, et al.
Published: (2026)
Discovering EV Charging Site Archetypes Through Few Shot Forecasting: The First U.S.-Wide Study
by: Nikhal, Kshitij, et al.
Published: (2025)
by: Nikhal, Kshitij, et al.
Published: (2025)
Enforcing Fair Predicted Scores on Intervals of Percentiles by Difference-of-Convex Constraints
by: He, Yutian, et al.
Published: (2025)
by: He, Yutian, et al.
Published: (2025)
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
by: Blum, Avrim, et al.
Published: (2019)
by: Blum, Avrim, et al.
Published: (2019)
Fairness in Survival Analysis with Distributionally Robust Optimization
by: Hu, Shu, et al.
Published: (2024)
by: Hu, Shu, et al.
Published: (2024)
The Fragility of Fairness: Causal Sensitivity Analysis for Fair Machine Learning
by: Fawkes, Jake, et al.
Published: (2024)
by: Fawkes, Jake, et al.
Published: (2024)
Robust Player-Conditional Champion Ranking for League of Legends: Style Similarity, Mastery Priors, and Archetype-Constrained Discovery
by: Heo, Min, et al.
Published: (2026)
by: Heo, Min, et al.
Published: (2026)
Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
by: Khatti, Zahra, et al.
Published: (2025)
by: Khatti, Zahra, et al.
Published: (2025)
How Far Can Fairness Constraints Help Recover From Biased Data?
by: Sharma, Mohit, et al.
Published: (2023)
by: Sharma, Mohit, et al.
Published: (2023)
OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation
by: Yang, Haochen, et al.
Published: (2026)
by: Yang, Haochen, et al.
Published: (2026)
Alternatives to the Laplacian for Scalable Spectral Clustering with Group Fairness Constraints
by: Ojeda-Ruiz, Iván, et al.
Published: (2025)
by: Ojeda-Ruiz, Iván, et al.
Published: (2025)
Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces
by: Eaton, Eric, et al.
Published: (2025)
by: Eaton, Eric, et al.
Published: (2025)
An Empirical Analysis of Fairness Notions under Differential Privacy
by: de Oliveira, Anderson Santana, et al.
Published: (2023)
by: de Oliveira, Anderson Santana, et al.
Published: (2023)
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
by: Nguyen, Tin Trung, et al.
Published: (2025)
by: Nguyen, Tin Trung, et al.
Published: (2025)
Similar Items
-
Archetypal cases for questionnaires with nominal multiple choice questions
by: Alcacer, Aleix, et al.
Published: (2026) -
A Survey on Archetypal Analysis
by: Alcacer, Aleix, et al.
Published: (2025) -
Biarchetype analysis: simultaneous learning of observations and features based on extremes
by: Alcacer, Aleix, et al.
Published: (2023) -
Representing asymmetric relationships by h-plots. Discovering the archetypal patterns of cross-journal citation relationships
by: Alcacer, Aleix, et al.
Published: (2026) -
Multidimensional scaling of two-mode three-way asymmetric dissimilarities: finding archetypal profiles and clustering
by: Alcacer, Aleix, et al.
Published: (2025)