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Semih Akbayrak

PhD candidate, TU Eindhoven

Interests

  • Bayesian Machine Learning
  • Approximate Inference Methods
  • Matrix and Tensor Decomposition Models

Education

  • BSc in Electrical and Electronics Engineering, 2015

    Bogazici University

  • MSc in Computational Science, 2018

    Bogazici University

Biography

Semih Akbayrak is a PhD candidate in the SPS group of Electrical Engineering department in Eindhoven University of Technology. His research focuses on automating approximate inference in probabilistic models. Previously, he studied statistical interpretation of matrix and tensor factorizations.

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