andres masegosa

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    I highlight my most recent and relevant publications. You can download a complete list of my publications or visit my google scholar profile.

  1.

    Diversity and Generalization in Neural Network Ensembles

    Authors: Luis A. Ortega, Rafael Cabañas and Andres R. Masegosa.

  2.

    Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote

    Authors: Yi-Shan Wu, Andres R. Masegosa, Stephan S. Lorenzen, Christian Igel and Yevgeny Seldin.

  3.

    Probabilistic Models with Deep Neural Networks

    Authors: Andres R. Masegosa, Rafael Cabañas, Helge Langseth, Thomas D. Nielsen and Antonio Salmerón.

  4.

    Learning under Model Misspecification. Applications to Variational and Ensemble methods

    Authors: Andres R. Masegosa.

  5.

    Second Order PAC-Bayesian Bounds for the Weighted Majority Vote

    Authors: Andres R. Masegosa, Stephan S. Lorenzen, Christian Igel and Yevgeny Seldin.

  6.

    Variational Inference over Nonstationary Data Streams for Exponential Family Models

    Authors: Andres R. Masegosa, Ramos-López D., Nielsen, T. D., Langseth, H., Salmerón, A.

  7.

    Analyzing concept drift. A case study in the financial sector

    Authors: Andres R. Masegosa, Martínez, A. M., Ramos-López, D., Langseth, H., Nielsen, T. D., & Salmerón, A.

  8.

    Scaling up Bayesian variational inference using distributed computing clusters

    Authors: Andres R. Masegosa, Ana M Martinez, Helge Langseth, Thomas D Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L Madsen.

  9.

    Bayesian Models of Data Streams with Hierarchical Power Priors

    Authors: Andres R. Masegosa, Nielsen, T. D., Langseth, H., Ramos-López, D., Salmerón, A. & Madsen, A. L.

  10.

    Probabilistic graphical models on multi-core CPUs using Java 8

    Authors: Andres R. Masegosa, with Martinez, A. M., & Borchani, H.

  11.

    Stochastic Discriminative EM

    Authors: Andres R. Masegosa