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ORCIDLuis A. Ortega 0001
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- affiliation: Universidade Autónoma de Madrid, Spain
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Conference and Workshop Papers
- 2024
[c3]Luis A. Ortega Andrés, Simón Rodríguez Santana, Daniel Hernández-Lobato:
Variational Linearized Laplace Approximation for Bayesian Deep Learning. ICML 2024- 2023
- [c2]Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato:
Deep Variational Implicit Processes. ICLR 2023 - 2022
- [c1]Luis A. Ortega
, Rafael Cabañas, Andrés R. Masegosa:
Diversity and Generalization in Neural Network Ensembles. AISTATS 2022: 11720-11743
Informal and Other Publications
- 2024
- [i7]Ioar Casado, Luis A. Ortega, Andrés R. Masegosa, Aritz Pérez:
PAC-Bayes-Chernoff bounds for unbounded losses. CoRR abs/2401.01148 (2024) - 2023
- [i6]Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato:
Variational Linearized Laplace Approximation for Bayesian Deep Learning. CoRR abs/2302.12565 (2023) - [i5]Andrés R. Masegosa, Luis A. Ortega:
Understanding Generalization in the Interpolation Regime using the Rate Function. CoRR abs/2306.10947 (2023) - [i4]Yijie Zhang, Yi-Shan Wu, Luis A. Ortega, Andrés R. Masegosa:
If there is no underfitting, there is no Cold Posterior Effect. CoRR abs/2310.01189 (2023) - 2022
- [i3]Luis A. Ortega, Simón Rodríguez Santana, Daniel Hernández-Lobato:
Deep Variational Implicit Processes. CoRR abs/2206.06720 (2022) - [i2]Simón Rodríguez Santana, Luis A. Ortega Andrés, Daniel Hernández-Lobato, Bryan Zaldivar:
Correcting Model Bias with Sparse Implicit Processes. CoRR abs/2207.10673 (2022) - 2021
- [i1]Luis A. Ortega, Rafael Cabañas, Andrés R. Masegosa:
Diversity and Generalization in Neural Network Ensembles. CoRR abs/2110.13786 (2021)
Coauthor Index
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