Lancaster University CSML

Lancaster University CSML is a weekly seminar organized by the Lancaster computational statistics section to discuss research from all areas of Computational Statistics and Machine Learning.

We host talks by invited external speakers, as well as discussion meetings by contributing internal speakers.

We usually meet at 15:00 GMT on Thursdays.

Recent talks can be found below. A more comprehensive list of past talks can be found here.

• 20 March 2025
         Chris Nemeth
         Can ODEs Make Monte Carlo Methods Great Again?

• 6 March 2025
         Richard Everitt (University of Warwick)
         ABC-SMC^2 and Ensemble Kalman Inversion ABC [arXiv]

• 20 February 2025
         Paul Fearnhead
         Optimised Annealed Sequential Monte Carlo Samplers [arXiv]

• 6 February 2025
         Adrien Corenflos (University of Warwick)
         High-Dimensional Inference in State-Space Models via an Auxiliary Variable Trick [arXiv]

• 30 January 2025
         Tim Rogers (University of Sheffield)
         Learning About Dynamical Systems with Gaussian Processes

The main organizer is for the 2024-2025 academic year is Tamas Papp (t[dot]papp[at][lancaster]).