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Mr Alexandre Navarro

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Research interests

In many datasets, the driving cause for the behaviour we observe is tied to a hidden cause that would be measured using a scale that "wraps on itself" such as angles or a clock/calendar. More precisely, the topology of the latent space can be described as lying over a manifold comprised of combinations of circles, spheres or tori, which requires the tools of circular statistics. My research aims to study how to learn models using these variables in an efficient way through the framework of variational inference. I am also interested in the field of reinforcement learning and applications of machine learning for decision making.

Publications

About us

The Cambridge Big Data Strategic Research Initiative brings together researchers from across the University to address challenges presented by our access to unprecedented volumes of data. Our research spans all six Schools of the University, from the underlying fundamentals in mathematics and computer science, to applications ranging from astronomy and bioinformatics, to medicine, social science and the humanities

In parallel, our research addresses important issues around law, ethics and economics, in order to apply Big Data to solve challenging problems for society.

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