Álvaro Barbero Jiménez

Paloma Martínez Fernández

CoRR, 2023

RLBoost: Boosting Supervised Models using Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Eloy Anguiano Batanero

Ángela Fernández Pascual

CoRR, 2023

Mixture of Diffusers for scene composition and high resolution image generation.

[BibT_eX]

[DOI]

CoRR, 2023

2022

RigoBERTa: A State-of-the-Art Language Model For Spanish.

[BibT_eX]

[DOI]

Alejandro Vaca Serrano

Guillem García Subies

Helena Montoro Zamorano

Nuria Aldama Garcia

Doaa Samy

David Betancur Sánchez

Antonio Moreno-Sandoval

Marta Guerrero Nieto

CoRR, 2022

2021

Classifying Spanish se constructions: from bag of words to language models.

[BibT_eX]

[DOI]

Nuria Aldama-García

Proces. del Leng. Natural, 2021

2018

Modular Proximal Optimization for Multidimensional Total-Variation Regularization.

[BibT_eX]

[DOI]

Suvrit Sra

J. Mach. Learn. Res., 2018

Improving cash logistics in bank branches by coupling machine learning and robust optimization.

[BibT_eX]

[DOI]

Akiko Takeda

Expert Syst. Appl., 2018

2015

Geometric intuition and algorithms for Ev-SVM.

[BibT_eX]

[DOI]

Akiko Takeda

J. Mach. Learn. Res., 2015

Convex Optimization for Parallel Energy Minimization.

[BibT_eX]

[DOI]

K. S. Sesh Kumar

Stefanie Jegelka

Suvrit Sra

Francis R. Bach

CoRR, 2015

2013

Group Fused Lasso.

[BibT_eX]

[DOI]

Carlos M. Alaíz

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Sparse methods for wind energy prediction.

[BibT_eX]

[DOI]

Carlos M. Alaíz

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Clipping algorithms for solving the nearest point problem over reduced convex hulls.

[BibT_eX]

[DOI]

Pattern Recognit., 2011

Cycle-breaking acceleration for support vector regression.

[BibT_eX]

[DOI]

Neurocomputing, 2011

Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Fast Newton-type Methods for Total Variation Regularization.

[BibT_eX]

[DOI]

Suvrit Sra

Proceedings of the 28th International Conference on Machine Learning, 2011

Momentum Acceleration of Least-Squares Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010

An MDM solver for the nearest point problem in Scaled Convex Hulls.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

Faster Directions for Second Order SMO.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2010

2009

Finding optimal model parameters by deterministic and annealed focused grid search.

[BibT_eX]

[DOI]

Neurocomputing, 2009

Cycle-breaking acceleration of SVM training.

[BibT_eX]

[DOI]

Neurocomputing, 2009

A Simple Maximum Gain Algorithm for Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008

Finding Optimal Model Parameters by Discrete Grid Search.

[BibT_eX]

[DOI]

Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

On the Equivalence of the SMO and MDM Algorithms for SVM Training.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A 4-Vector MDM Algorithm for Support Vector Training.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2008

Simple Clipping Algorithms for Reduced Convex Hull SVM Training.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

An accelerated MDM algorithm for SVM training.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Square Penalty Support Vector Regression.

[BibT_eX]

[DOI]