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Data Science and Computational Statistics Seminar
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This is the Data Science and Computational Statistics Seminar series jointly between the School of Mathematics and the School of Computer Science. Current organisers of this series include: Jinming Duan (School of Computer Science), Hong Duong, Jinglai Li and Xiaocheng Shang (School of Mathematics). If you have any question about this series, please send an email to any of the organisers. 4 upcoming talks and 5 talks in the archive. Non-reversible Markov chain Monte Carlo for sampling of districting maps
Statistical Learning by Stochastic Gradient Descent
On the geometry of Stein variational gradient descent
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
If you have a question about this list, please contact: Hong Duong. If you have a question about a specific talk, click on that talk to find its organiser. |
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Matthias Sachs (Duke University).
Tuesday 11 August 2020, 13:00-14:00