Luis Antonio Ortega Andres

About

I received the Bachelors degree in Compute Science and Mathematics from the Universidad de Granada (UGR), in 2020, and the Master’s degree in Data Science from the Universidad Autónoma de Madrid (UAM), in 2022. Now he is working toward the Ph.D. degree with the Department of Computer Science. His research interests lie in variational inference, Gaussian processes, function-space inference and learning theory.

Work

Universidad Autónoma de Madrid
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Predoctoral Researcher - Machine Learning

Spain

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Education

Universidad Autónoma de Madrid
Spain

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Máster Universitario en Ciencia de Datos

Universidad de Granada
Spain

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Graduado en Matemáticas

Universidad de Granada
Spain

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Graduado en Ingeniería Informática

Publications

PAC-Bayes-Chernoff Bounds for Unbounded Losses

Published by

The Thirty-eighth Annual Conference on Neural Information Processing Systems

Summary

conference-paper

The Cold Posterior Effect Indicates Underfitting, and Cold Posteriors Represent a Fully Bayesian Method to Mitigate It

Published by

Transactions on Machine Learning Research (TMLR)

Summary

journal-article

Variational Linearized Laplace Approximation for Bayesian Deep Learning

Published by

International Conference on Machine Learning (ICML)

Summary

conference-paper

Deep Variational Implicit Processes

Published by

International Conference on Learning Representations (ICLR)

Summary

conference-paper

Diversity and Generalization in Neural Network Ensembles

Published by

Proceedings of The 25th International Conference on Artificial Intelligence and Statistics

Summary

conference-paper