Facilities/Equipment

• High End Computing cluster (HEC)

  Facility/Equipment: Facility

Research outputs

• Semi-Exact Control Functionals From Sard's Method

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• GaussianProcesses.jl: A Nonparametric Bayes package for the Julia Language

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Sequential Estimation of Temporally Evolving Latent Space Network Models

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• SwISS: A Scalable Markov chain Monte Carlo Divide-and-Conquer Strategy

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• CoinEM: Tuning-Free Particle-Based Variational Inference for Latent Variable Models

  Research output: Working paper › Preprint

• Efficient and generalizable tuning strategies for stochastic gradient MCMC

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Learning Rate Free Bayesian Inference in Constrained Domains

  Research output: Working paper › Preprint

• Multivariate sensitivity analysis for a large-scale climate impact and adaptation model

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Stochastic Gradient MCMC for Nonlinear State Space Models*

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Characterising the ice sheet surface in North East Greenland using Sentinel-1 SAR data

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Preferential Subsampling for Stochastic Gradient Langevin Dynamics

  Research output: Contribution to Journal/Magazine › Conference article › peer-review

• Transport Elliptical Slice Sampling

  Research output: Contribution to Journal/Magazine › Conference article › peer-review

• Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Latent Space Modelling of Hypergraph Data

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Learning Rate Free Bayesian Inference in Constrained Domains

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Tuning-Free Maximum Likelihood Training of Latent Variable Models via Coin Betting

  Research output: Contribution to Journal/Magazine › Conference article › peer-review

• Learning Rate Free Sampling in Constrained Domains

  Research output: Contribution to Journal/Magazine › Conference article › peer-review

• Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds

  Research output: Contribution to Journal/Magazine › Conference article › peer-review

• Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI

  Research output: Contribution to Journal/Magazine › Conference article › peer-review

• Robust Bayesian nonparametric variable selection for linear regression

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models

  Research output: Contribution to Journal/Magazine › Conference article › peer-review

• Accounting for shared covariates in semi-parametric Bayesian additive regression trees

  Research output: Contribution to Journal/Magazine › Journal article › peer-review

• Bayesian N-Mixture Models Applied to Estimating Insect Abundance

  Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

• Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

  Research output: Contribution to Journal/Magazine › Conference article › peer-review