Dear Students,
A
new internship+thesis project is available related to the development
of methods for sparse probabilistic tensor factorization.
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Description
The goal of this project is to develop and analyze advanced optimization methods for Probabilistic Tensor Factorization (PTF),
a powerful technique used in multi-dimensional data analysis. The focus will be on designing efficient algorithms that leverage the probabilistic framework to address challenges
such as scalability, convergence, and robustness in real-world applications.
This project will be carried out in collaboration with TU Delft (https://www.tudelft.nl/en/)
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For further info, you can send an email to rinaldi@math.unipd.it (please attach CV and track of records).
Best Regards,
Francesco Rinaldi