Probabilistic machine learning

Time:2023-10-11 ~ 2024-01-11 Wed,Thu 17:05-18:40

Venue:Venue: A3-2-301 Zoom: 518 868 7656 (PW: BIMSA)

Speaker:Alexey Zaytsev (Visiting Assistant Professor)


Probabilistic approach in machine and deep learning leads to principled solutions. It provides explainable decisions and new ways for improving of existing approaches. Bayesian machine learning consists of probabilistic approaches that rely on Bayes formula. It can help in numerous applications and has beautiful mathematical concepts behind. In this course, I will describe the foundations of Bayesian machine learning and how it works as a part of deep learning framework.

Lecturer Intro

Alexey has deep expertise in machine learning and processing of sequential data. He publishes at top venues, including KDD, ACM Multimedia and AISTATS. Industrial applications of his results are now in service at companies Airbus, Porsche and Saudi Aramco among others.

DATEOctober 11, 2023
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