SQUIDS Seminar - A State-Space Perspective on Modelling and Inference for Online Skill Rating
| Dates: | 29 November 2023 |
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| Times: | 14:30 - 16:00 |
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| What is it: | Seminar |
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| Organiser: | Department of Mathematics |
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| Who is it for: | University staff, External researchers, Current University students |
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| Speaker: | Sam Power |
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Schedule:
- 2:30pm: pretalk
- 3:05pm: research talk 'How mathematics can inspire novel deep learning architectures: two case studies'
Abstract: In the quantitative analysis of competitive sports, a fundamental task is to estimate the skills of the different agents (‘players’) involved in a given competition based on the outcome of pairwise comparisons (‘matches’) between said players, often in an online setting. In this talk, I will discuss recent work in which we advocate for adoption of the state-space modelling paradigm in solving this problem. This perspective facilitates the decoupling of modelling from inference, enabling a more focused approach to development and critique of model assumptions, while also fostering the development of general-purpose inference tools.
I will first describe some illustrative model classes which arise in this framework, before turning to a careful discussion of inference and computation strategies for these models. A key challenge throughout is to develop methodology which scales gracefully to problems with a large number of players and a high frequency of matches. I then conclude by describing some real-data applications of our approach, demonstrating how this framework facilitates a practical workflow across different sports.
This is joint work with Samuel Duffield (Normal Computing) and Lorenzo Rimella (Lancaster University).
Speaker
Sam Power
Organisation: The University of Bristol
Travel and Contact Information
Find event
G.114
Alan Turing Building
Manchester
