Saved in:
| Main Authors: | Mantuano, Claudio, Kammermann, Manuel, Baumann, Philipp |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.13759 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An algorithm for clustering with confidence-based must-link and cannot-link constraints
by: Baumann, Philipp, et al.
Published: (2022)
by: Baumann, Philipp, et al.
Published: (2022)
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
by: Pfohl, Stephen R., et al.
Published: (2025)
by: Pfohl, Stephen R., et al.
Published: (2025)
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
by: Nguyen, Son, et al.
Published: (2023)
by: Nguyen, Son, et al.
Published: (2023)
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
by: Aryal, Sunil, et al.
Published: (2024)
by: Aryal, Sunil, et al.
Published: (2024)
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness
by: Krco, Natasa, et al.
Published: (2023)
by: Krco, Natasa, et al.
Published: (2023)
A Fast and Effective Method for Euclidean Anticlustering: The Assignment-Based-Anticlustering Algorithm
by: Baumann, Philipp, et al.
Published: (2026)
by: Baumann, Philipp, et al.
Published: (2026)
Reranking individuals: The effect of fair classification within-groups
by: Goethals, Sofie, et al.
Published: (2024)
by: Goethals, Sofie, et al.
Published: (2024)
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality
by: Li, Sai, et al.
Published: (2024)
by: Li, Sai, et al.
Published: (2024)
SLIDE: a surrogate fairness constraint to ensure fairness consistency
by: Kim, Kunwoong, et al.
Published: (2022)
by: Kim, Kunwoong, et al.
Published: (2022)
Detecting outliers by clustering algorithms
by: Li, Qi, et al.
Published: (2024)
by: Li, Qi, et al.
Published: (2024)
SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models
by: Rossi, Alvise Dei, et al.
Published: (2025)
by: Rossi, Alvise Dei, et al.
Published: (2025)
Fast hyperboloid decision tree algorithms
by: Chlenski, Philippe, et al.
Published: (2023)
by: Chlenski, Philippe, et al.
Published: (2023)
Fair Enough? A map of the current limitations of the requirements to have fair algorithms
by: Regoli, Daniele, et al.
Published: (2023)
by: Regoli, Daniele, et al.
Published: (2023)
A parameter-free clustering algorithm for missing datasets
by: Li, Qi, et al.
Published: (2024)
by: Li, Qi, et al.
Published: (2024)
Attacks on fairness in Federated Learning
by: Rance, Joseph, et al.
Published: (2023)
by: Rance, Joseph, et al.
Published: (2023)
It's complicated. The relationship of algorithmic fairness and non-discrimination provisions for high-risk systems in the EU AI Act
by: Meding, Kristof
Published: (2025)
by: Meding, Kristof
Published: (2025)
Fast and explainable clustering in the Manhattan and Tanimoto distance
by: Güttel, Stefan, et al.
Published: (2026)
by: Güttel, Stefan, et al.
Published: (2026)
Individual and group fairness in geographical partitioning
by: Ryzhov, Ilya O., et al.
Published: (2025)
by: Ryzhov, Ilya O., et al.
Published: (2025)
Effects of algorithmic flagging on fairness: quasi-experimental evidence from Wikipedia
by: TeBlunthuis, Nathan, et al.
Published: (2020)
by: TeBlunthuis, Nathan, et al.
Published: (2020)
LSEC: Large-scale spectral ensemble clustering
by: Li, Hongmin, et al.
Published: (2021)
by: Li, Hongmin, et al.
Published: (2021)
Post-processing fairness with minimal changes
by: Di Gennaro, Federico, et al.
Published: (2024)
by: Di Gennaro, Federico, et al.
Published: (2024)
Wasserstein projection distance for fairness testing of regression models
by: Li, Wanxin, et al.
Published: (2025)
by: Li, Wanxin, et al.
Published: (2025)
Hierarchical mixtures of Gaussians for combined dimensionality reduction and clustering
by: Sokoloski, Sacha, et al.
Published: (2022)
by: Sokoloski, Sacha, et al.
Published: (2022)
Fast instance-specific algorithm configuration with graph neural network
by: Aihara, Shingo, et al.
Published: (2025)
by: Aihara, Shingo, et al.
Published: (2025)
Federated fairness-aware classification under differential privacy
by: Xue, Gengyu, et al.
Published: (2026)
by: Xue, Gengyu, et al.
Published: (2026)
Sparse clustering via the Deterministic Information Bottleneck algorithm
by: Costa, Efthymios, et al.
Published: (2026)
by: Costa, Efthymios, et al.
Published: (2026)
PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms
by: Lasalle, Etienne, et al.
Published: (2024)
by: Lasalle, Etienne, et al.
Published: (2024)
Fast and explainable clustering based on sorting
by: Chen, Xinye, et al.
Published: (2022)
by: Chen, Xinye, et al.
Published: (2022)
Towards counterfactual fairness through auxiliary variables
by: Tian, Bowei, et al.
Published: (2024)
by: Tian, Bowei, et al.
Published: (2024)
FACROC: a fairness measure for FAir Clustering through ROC curves
by: Quy, Tai Le, et al.
Published: (2025)
by: Quy, Tai Le, et al.
Published: (2025)
Exploring the impact of fairness-aware criteria in AutoML
by: Simões, Joana, et al.
Published: (2026)
by: Simões, Joana, et al.
Published: (2026)
Funktionswörter als Indikatoren für diskursspezifische Argumentationsstrukturen im printmedialen Diskurs über den fünften Sachstandsbericht des Weltklimarates
by: Nadine Kammermann
Published: (2018)
by: Nadine Kammermann
Published: (2018)
Argumentationen über den Klimawandel in Schweizer Medien
by: Kammermann, Nadine
Published: (2022)
by: Kammermann, Nadine
Published: (2022)
Naturjodel und Emotion
by: Kammermann, Andrea
Published: (2022)
by: Kammermann, Andrea
Published: (2022)
Introducing Feature-Based Trajectory Clustering, a clustering algorithm for longitudinal data
by: Sylvestre, Marie-Pierre, et al.
Published: (2026)
by: Sylvestre, Marie-Pierre, et al.
Published: (2026)
Can an unsupervised clustering algorithm reproduce a categorization system?
by: Castellanos, Nathalia, et al.
Published: (2024)
by: Castellanos, Nathalia, et al.
Published: (2024)
An effective variant of the Hartigan $k$-means algorithm
by: Clément, François, et al.
Published: (2026)
by: Clément, François, et al.
Published: (2026)
Fast dynamic time warping and clustering in C++
by: Kumtepeli, Volkan, et al.
Published: (2023)
by: Kumtepeli, Volkan, et al.
Published: (2023)
Fast leave-one-cluster-out cross-validation using clustered Network Information Criterion (NICc)
by: Qiu, Jiaxing, et al.
Published: (2024)
by: Qiu, Jiaxing, et al.
Published: (2024)
PLS-based approach for fair representation learning
by: De-Diego, Elena M., et al.
Published: (2025)
by: De-Diego, Elena M., et al.
Published: (2025)
Similar Items
-
An algorithm for clustering with confidence-based must-link and cannot-link constraints
by: Baumann, Philipp, et al.
Published: (2022) -
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
by: Pfohl, Stephen R., et al.
Published: (2025) -
Fairness-enhancing mixed effects deep learning improves fairness on in- and out-of-distribution clustered (non-iid) data
by: Nguyen, Son, et al.
Published: (2023) -
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
by: Aryal, Sunil, et al.
Published: (2024) -
When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness
by: Krco, Natasa, et al.
Published: (2023)