Masegosa, Andrés R.

1. Diversity and Generalization in Neural Network Ensembles
   2021/10/26 by Luis Ángel Ortega Cuesta, Ortega, Luis A., Rafael Cabañas +3 · 5 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning and Data Classification #Statistics Theory (math.ST)
2. Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
   2020/07/01 by Andrés R. Masegosa, Masegosa, Andrés R., Stephan Sloth Lorenzen +5 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
3. Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote
   2021/06/25 by Yi-Shan Wu, Andrés R. Masegosa, Wu, Yi-Shan +7 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
4. If there is no underfitting, there is no Cold Posterior Effect
   2023/10/02 by Zhang, Yijie, Wu, Yi-Shan, Ortega, Luis A. +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. PAC-Bayes-Chernoff bounds for unbounded losses
   2024/01/02 by Ioar Casado, Casado, Ioar, Luis Ángel Ortega Cuesta +5 · 1 citation
   Mathematics · #Statistical Methods and Inference #Markov Chains and Monte Carlo Methods #Mathematical Approximation and Integration