Paula Gordaliza

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Kernel Regression

Central Limit Theorem

Confidence Intervals

Top Venues

Publications

Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers. CoRR (2024)
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results. AISTATS (2024)
Hristo Inouzhe, Irantzu Barrio, Paula Gordaliza, María Xosé Rodríguez-Álvarez, Itxaso Bengoechea, José María Quintana
A study on group fairness in healthcare outcomes for nursing home residents during the COVID-19 pandemic in the Basque Country. CoRR (2023)
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations. CoRR (2023)
Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls
Fair Kernel Regression through Cross-Covariance Operators. Trans. Mach. Learn. Res. 2023 (2023)
Ana Cisnal, Paula Gordaliza, Javier Pérez Turiel, Juan C. Fraile
Interaction with a Hand Rehabilitation Exoskeleton in EMG-Driven Bilateral Therapy: Influence of Visual Biofeedback on the Users' Performance. Sensors 23 (4) (2023)
Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto
A Survey on Preserving Fairness Guarantees in Changing Environments. CoRR (2022)
Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes
Review of Mathematical frameworks for Fairness in Machine Learning. CoRR (2020)
Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. CoRR (2020)
Eustasio del Barrio, Paula Gordaliza, Hélène Lescornel, Jean-Michel Loubes
Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions. J. Multivar. Anal. 169 (2019)
Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes
Obtaining Fairness using Optimal Transport Theory. ICML (2019)
Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes
Confidence Intervals for Testing Disparate Impact in Fair Learning. CoRR (2018)