Mathematical and Computational Aspects of Machine Learning

# course: Representation Learning

speaker: Stefano Soatto (with Alessandro Achille) (UCLA)

abstract: These lectures will build on basics of information theory and statistical decision theory to formalize the problem of learning representations of the data for machine learning tasks, with a focus on classification. We will then describe learning and inference techniques using deep neural networks, including optimization and regularization.

There are no formal prerequisites other than graduate standing in a mathematics, engineering or science field, which assumes fluency with probability, calculus, linear algebra, and differential equations.

timetable:
Mon 7 Oct, 11:30 - 12:30, Aula Dini
Mon 7 Oct, 14:30 - 15:30, Aula Dini
Tue 8 Oct, 16:00 - 17:00, Aula Dini
Tue 8 Oct, 17:00 - 18:00, Aula Dini
Wed 9 Oct, 10:30 - 11:30, Aula Dini
Wed 9 Oct, 11:30 - 12:30, Aula Dini
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