Probability Seminar

The probability seminar is a weekly seminar featuring the latest research in pure and applied probability. Speakers include internationally renowned probabilists as well as probabilistic work from related disciplines including computer science and operations research. It also presents graduate students a friendly environment to present their research.

The seminar is held weekly in 1011 Evans on Wednesdays at 3pm, except when otherwise indicated.

Sign up to the department's seminars [at] stat [dot] berkeley [dot] edu (seminars mailing list).

Upcoming Probability Seminars

The top principal value and the distance to Athens
Balint Virag, University of Toronto
Oct 23, 2019 4:00pm
1011 Evans Hall
Abstract:
The distribution of the top principal value of a random covariance matrix appears in seemingly unrelated models. These include particle systems originating in cell biology, longest increasing subsequences, and the shape of coffee spots. Random planar geometry lurks behind these phenomena. I will discuss the recently constructed common scaling limit, the directed landscape, and its...
Neyman Seminar
Mathematics of deep learning?
Roman Vershynin, University of California, Irvine
Nov 5, 2019 4:00pm
1011 Evans Hall
Abstract:
Deep learning is a rapidly developing area of machine learning, which uses artificial neural networks to perform learning tasks. Although mathematical description of neural networks is simple, theoretical explanation of spectacular performance of deep learning remains elusive. Even the most basic questions about remain open. For example, how many different functions can a neural network compute?...
Neyman Seminar
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