Xavier de Luna

According to our database, Xavier de Luna authored at least 9 papers between 2002 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Tuning Derivatives for Causal Fairness in Machine Learning.

Filip Edström, Guilherme W. F. Barros, Tetiana Gorbach, Xavier de Luna

Mach. Learn., June, 2026

2024

Convolutional Neural Networks for Valid and Efficient Causal Inference.

Mohammad Ghasempour, Niloofar Moosavi, Xavier de Luna

J. Comput. Graph. Stat., 2024

2023

Contrasting Identifying Assumptions of Average Causal Effects: Robustness and Semiparametric Efficiency.

Tetiana Gorbach, Xavier de Luna, Juha Karvanen, Ingeborg Waernbaum

J. Mach. Learn. Res., 2023

Robot Causal Discovery Aided by Human Interaction.

Filip Edström, Thomas Hellström, Xavier de Luna

Proceedings of the 32nd IEEE International Conference on Robot and Human Interactive Communication, 2023

2020

A Hierarchical Bayesian Mixture Model Approach for Analysis of Resting-State Functional Brain Connectivity: An Alternative to Thresholding.

Tetiana Gorbach, Anders Lundquist, Xavier de Luna, Lars Nyberg, Alireza Salami

Brain Connect., 2020

2017

Data-driven algorithms for dimension reduction in causal inference.

Emma Persson, Jenny Häggström, Ingeborg Waernbaum, Xavier de Luna

Comput. Stat. Data Anal., 2017

2014

Targeted smoothing parameter selection for estimating average causal effects.

Jenny Häggström, Xavier de Luna

Comput. Stat., 2014

2010

Estimating Prediction Error: Cross-Validation vs. Accumulated Prediction Error.

Jenny Häggström, Xavier de Luna

Commun. Stat. Simul. Comput., 2010

2002

Simulation-based inference for simultaneous processes on regular lattices.

Xavier de Luna, Marc G. Genton

Stat. Comput., 2002