Paula Gordaliza

14 papers A* 1A 1Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
PLS-based approach for fair representation learning.
CoRR
Elena M. De-Diego, Adrián Pérez-Suay, Paula Gordaliza, Jean-Michel Loubes
2025 J jnl
Preserving the Fairness Guarantees of Classifiers in Changing Environments: A Survey.
ACM Comput. Surv.
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2024 J jnl
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers.
CoRR
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2024 A conf
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results.
AISTATS
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2023 J jnl
A study on group fairness in healthcare outcomes for nursing home residents during the COVID-19 pandemic in the Basque Country.
CoRR
Hristo Inouzhe, Irantzu Barrio, Paula Gordaliza, María Xosé Rodríguez-Álvarez, Itxaso Bengoechea, José María Quintana
2023 J jnl
Fair Kernel Regression through Cross-Covariance Operators.
Trans. Mach. Learn. Res.
Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls
2023 J jnl
Interaction with a Hand Rehabilitation Exoskeleton in EMG-Driven Bilateral Therapy: Influence of Visual Biofeedback on the Users' Performance.
Sensors
Ana Cisnal, Paula Gordaliza, Javier Pérez Turiel, Juan C. Fraile
2023 J jnl
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations.
CoRR
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2022 J jnl
A Survey on Preserving Fairness Guarantees in Changing Environments.
CoRR
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
2020 J jnl
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set.
CoRR
Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser
2020 J jnl
Review of Mathematical frameworks for Fairness in Machine Learning.
CoRR
Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes
2019 J jnl
Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions.
J. Multivar. Anal.
Eustasio del Barrio, Paula Gordaliza, Hélène Lescornel, Jean-Michel Loubes
2019 A* conf
Obtaining Fairness using Optimal Transport Theory.
ICML
Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes
2018 J jnl
Confidence Intervals for Testing Disparate Impact in Fair Learning.
CoRR
Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes