# Luis Antonio Ortega Andres
Source: https://hello.cv/luisandres

## 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
### Predoctoral Researcher - Machine Learning | Universidad Autónoma de Madrid

## Education
### Universidad Autónoma de Madrid | Máster Universitario en Ciencia de Datos
### Universidad de Granada | Graduado en Matemáticas
### Universidad de Granada | Graduado en Ingeniería Informática

## Publications
### PAC-Bayes-Chernoff Bounds for Unbounded Losses
The Thirty-eighth Annual Conference on Neural Information Processing Systems
conference-paper
### The Cold Posterior Effect Indicates Underfitting, and Cold Posteriors Represent a Fully Bayesian Method to Mitigate It
Transactions on Machine Learning Research (TMLR)
journal-article
### Variational Linearized Laplace Approximation for Bayesian Deep Learning
International Conference on Machine Learning (ICML)
conference-paper
### Deep Variational Implicit Processes
International Conference on Learning Representations (ICLR)
conference-paper
### Diversity and Generalization in Neural Network Ensembles
Proceedings of The 25th International Conference on Artificial Intelligence and Statistics
conference-paper

## Source
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