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Thursday 07 May 2015, 15:00-16:30
Scalable MCMC
- đ¤ Speaker: Hong Ge, Jes Frellsen
- đ Date & Time: Thursday 07 May 2015, 15:00 - 16:30
- đ Venue: Engineering Department, CBL Room 438
Questions? Contact
Rowan McAllister
Abstract
In the talk we are going to review some recent approaches to scaling up MCMC to large data sets. We will cover approached based on both the Metropolis-Hastings algorithm and Hamiltonian Monte Carlo. Common for all the approached is that they make use of subsampling to cut the computation budget.
Series This talk is part of the Machine Learning Reading Group @ CUED series.
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