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Casual research seminar organized in the Department of Statistical Sciences. Our aim is to explore the diverse research conducted by our faculty, students, and postdocs. Meetings are on Tuesdays, 12:30pm. |
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The International Speaker Seminar Series (ISSS) and group discussions are broadcast to research centers interested in participating online. Seminars are held from 12:00 to 1:00 pm on the first Friday of every month October to June. |
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The Statistical Sciences Applied Research and Education Seminar (ARES) highlights the diverse opportunities that statistical sciences present across various societal sectors. Seminars are held every Monday from 3:30-4:30 pm ET, running from September to April. |
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The Toronto Data Workshop brings together academia and industry to share data science best practice. We are broadly interested, but especially in the code- and data-centric aspects of a project that are often glossed over. Meetings are weekly for an hour. |
External Seminars
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Machine Learning and Mean Field Games In the past few years, the connections between machine learning and mean field methods have emerged as a fruitful research direction. On the one hand, machine learning methods such as deep learning or reinforcement learning can be used to solve mean field games. On the other hand, mean field techniques can be used to study neural networks or multi-agent reinforcement learning. This seminar series aims at fostering the interactions on these topics. Meetings are monthly for an hour. |
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One World Actuarial Research Seminar Meetings are weekly for an hour. |
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One World Seminar Series on the Mathematics of Machine Learning The focus of the series lies on theoretical advances in machine learning and deep learning as a complement to the one world seminars on probability, on Information, Signals and Data (MINDS), on methods for arbitrary data sources (MADS), and on imaging and inverse problems (IMAGINE). Meetings are weekly for an hour. |
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Meetings are monthly for an hour. |
