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, Machine Learning, and related fields.

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.

• 4 September 2025
         Rafael Izbicki (Federal University of São Carlos, Brazil)
         Simulation‑Based Calibration of Confidence Sets for Statistical Models

• 7 August 2025
         Jixiang Qing (Imperial College London)
         Bayesian Optimization Over Graphs With Shortest-Path Encodings

• 17 July 2025
         Maciej Buze
         Barycenters in Unbalanced Optimal Transport

• 3 July 2025
         Henry Moss
         Fusing Neural and Statistical Models

• 19 June 2025
         Takuo Matsubara (University of Edinburgh)
         Wasserstein Gradient Boosting: A Framework for Distribution-Valued Supervised Learning

The main organizer is for the 2025-2026 academic year is Liam Llamazares (l[dot]llamazares[at]lancaster).