Sam Bowyer
I'm a probabilistic machine learning PhD student at the University of Bristol's Compass CDT, currently interning at Cohere where I'm working on the statistics of pretraining evals. My research interests include Bayesian stats, deep learning, and probabilistic programming.
- links
- blog posts
- Bayesian LLM Finetuning (Compass Student Blog)
- Compass at AIUK 2025
- Special Report: Compass Away Day 2024
- presentations
- projects
- bayes_evals -- a lightweight library for Bayesian analysis of LLM evals
- alan -- a massively parallel probabilistic programming language
- papers
- Learning Generation Orders for Masked Discrete Diffusion Models via Variational Inference (ICLR 2026 DeLTa Workshop)
- Position: Don't Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints (ICML 2025 Spotlight)
- Massively Parallel Expectation Maximization For Approximate Posteriors (AABI 2025)
- Using Using Autodiff to Estimate Posterior Moments, Marginals and Samples (UAI 2024)
- tennis