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

|

Predoctoral Researcher - Machine Learning

Spain

→

Education

Universidad Autónoma de Madrid

Spain
→
Máster Universitario en Ciencia de Datos

Universidad de Granada

Spain
→
Graduado en Matemáticas

Universidad de Granada

Spain
→
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