The field of Learning Theory has witnessed an explosive growth over the past decade. This growth has been made possible by exciting developments in the fields of applied mathematics, statistics and computer science and fueled by the need for processing modern large data sets.
The workshop seeks to explore several aspects of learning theory. It will include several mini-courses as well as feature a number of talks. Topics covered will include, but are not restricted to neuroscience, matrix estimation, manifold learning and non-convex optimization.
Participation is by invitation only.
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