Prof. Andrea Agazzi

At the 10th International Summer School on AI and Big Data, Prof. Andrea Agazzi will talk about Correcting SGD for Scalable Bayesian Inference.

Talk: Correcting SGD for Scalable Bayesian Inference

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Portrait of Prof. Andrea Agazzi

Prof. Andrea Agazzi

University of Pisa

andrea.agazzi@unipi.it

Bio

Andrea Agazzi is an Assistant Professor in the Mathematics Department at the University of Pisa. He received his PhD in Theoretical Physics at the University of Geneva, and was then hired as a Griffith Research Assistant Professor at Duke University. Before that, he obtained his Bsc degree in physics at ETH Zurich and his Msc in theoretical physics at Imperial College London. His main research focus is in applied probability theory, using techniques from statistical mechanics and stochastic analysis to gain insight in the (stochastic) behavior of complex dynamical models emerging in real world applications. For example, he has worked on scaling limits of machine learning models seen as interacting particle systems, on the behavior of large networks of chemical reactions, focusing on the relations between their stochastic dynamics and their structure, and on stochastic approximations of complex fluid models.

Read more about the 10th International Summer School on AI and Big Data.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut