Álvaro Barbero Jiménez

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 9

Top Topics

Dirichlet Prior

Machine Learning

Top Venues

J. Mach. Learn. Res.

Proces. del Leng. Natural

Publications

Guillem García Subies, Álvaro Barbero Jiménez, Paloma Martínez Fernández
A Survey of Spanish Clinical Language Models. CoRR (2023)
Álvaro Barbero Jiménez
Mixture of Diffusers for scene composition and high resolution image generation. CoRR (2023)
Eloy Anguiano Batanero, Ángela Fernández Pascual, Álvaro Barbero Jiménez
RLBoost: Boosting Supervised Models using Deep Reinforcement Learning. CoRR (2023)
Alejandro Vaca Serrano, Guillem García Subies, Helena Montoro Zamorano, Nuria Aldama Garcia, Doaa Samy, David Betancur Sánchez, Antonio Moreno-Sandoval, Marta Guerrero Nieto, Álvaro Barbero Jiménez
RigoBERTa: A State-of-the-Art Language Model For Spanish. CoRR (2022)
Nuria Aldama-García, Álvaro Barbero Jiménez
Classifying Spanish se constructions: from bag of words to language models. Proces. del Leng. Natural 66 (2021)
Álvaro Barbero Jiménez, Suvrit Sra
Modular Proximal Optimization for Multidimensional Total-Variation Regularization. J. Mach. Learn. Res. 19 (2018)
Jorge López Lázaro, Álvaro Barbero Jiménez, Akiko Takeda
Improving cash logistics in bank branches by coupling machine learning and robust optimization. Expert Syst. Appl. 92 (2018)
K. S. Sesh Kumar, Álvaro Barbero Jiménez, Stefanie Jegelka, Suvrit Sra, Francis R. Bach
Convex Optimization for Parallel Energy Minimization. CoRR (2015)
Álvaro Barbero Jiménez, Akiko Takeda, Jorge López Lázaro
Geometric intuition and algorithms for Ev-SVM. J. Mach. Learn. Res. 16 (2015)
Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro
Group Fused Lasso. ICANN (2013)
Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro
Sparse methods for wind energy prediction. IJCNN (2012)
Álvaro Barbero Jiménez, José R. Dorronsoro
Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training. IJCNN (2011)
Álvaro Barbero Jiménez, José R. Dorronsoro
Cycle-breaking acceleration for support vector regression. Neurocomputing 74 (16) (2011)
Álvaro Barbero Jiménez, Suvrit Sra
Fast Newton-type Methods for Total Variation Regularization. ICML (2011)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Clipping algorithms for solving the nearest point problem over reduced convex hulls. Pattern Recognit. 44 (3) (2011)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Momentum Acceleration of Least-Squares Support Vector Machines. ICANN (2) (2011)
Álvaro Barbero Jiménez, José R. Dorronsoro
Faster Directions for Second Order SMO. ICANN (2) (2010)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
An MDM solver for the nearest point problem in Scaled Convex Hulls. IJCNN (2010)
Álvaro Barbero Jiménez, José R. Dorronsoro
A Simple Maximum Gain Algorithm for Support Vector Regression. IWANN (1) (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing 72 (13-15) (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Cycle-breaking acceleration of SVM training. Neurocomputing 72 (7-9) (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
A 4-Vector MDM Algorithm for Support Vector Training. ICANN (1) (2008)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Simple Clipping Algorithms for Reduced Convex Hull SVM Training. HAIS (2008)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
On the Equivalence of the SMO and MDM Algorithms for SVM Training. ECML/PKDD (1) (2008)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
An accelerated MDM algorithm for SVM training. ESANN (2008)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Square Penalty Support Vector Regression. IDEAL (2007)