1. Diversity and Generalization in Neural Network Ensembles

    Talk at the ML Section of the Department of Computer Science at the University of Copenhaguen.

  2. Variational Inference in Probabilistic Programming

    Tutorial at the Probabilistic AI 2019 in Trondheim (Norway). Full material at the Github repository.

  3. A Bayesian approach for modelling non-stationary data streams.

    Talk at the ML Section of the Department of Computer Science at the University of Copenhaguen.

  4. Bayesian Modelling of Concept Drift

    Talk at ICML 2017 in Sydney (Australia) and the Machine Learning Group in the Technical University of Berlin (Germany).

  5. Probabilistic Machine Learning with the AMIDST Toolbox

    Tutorial at the Geilo Winter School 2018 (Norway). Full material at the Github repository.

  6. AMIDST Toolbox - Scalable Probabilistic Machine Leanring

    Talk at the Apache Big Data Europe 2016 in Seville (Spain), DeustoTech Mobility group of the University of Deusto (Bilbao, Spain) and Machine Learning Group in the Technical University of Berlin (Germany).

  7. Stochastic Discriminative EM - Discriminative Learning of Latent Variable Models

    Talk at UAI 2014 in Quebec (Canada) and the Department of Computer Science in the University of Aalborg (Denmark).

  8. Interactive Learning of Bayesian Networks

    Talk at the Department of Information and Computing Sciences in the University of Utrecht (Netherlands) and the Department of Computer Science in the University of Aalborg (Denmark).