Our students

Project title: Online Methods for Complex Stochastic Optimization Problems

Supervisors: Vladislav Tadic, Christophe Andrieu

Project title: Estimating Probabilistic Models on Curved Surfaces using Score Matching

Supervisor: Song Liu

Project title: Non-parametric supervised learning. In particular, Doug’s work focusses on the application of nonparametric methods to sequential decision making problems.

Supervisors: Anthony Lee, Mathieu Gerber

Project title: Using Variational approaches to perform computationally efficient ‘divide and conquer’ Monte Carlo inference on demographic models.

Supervisors: Christophe Andrieu, Mark Beaumont (School of Biological Sciences).

Project title: Exploratory data analysis of graph embeddings: exploiting manifold structure

Supervisors: Patrick Rubin-Delanchy and Nick Whiteley

Project title: Fast Bayesian Inference at Extreme Scale

Supervisors: Robert Allison and IBM

Project title: Uncertainty Quantification for Computer Experiments

Supervisors: Oliver Johnson and AWE

Project title: Decentralised sequential decision making and learning

Supervisors: Henry Reeve, Ayalvadi Ganesh

Project title: Simulation-Based Inference for Agent-Based Models

Supervisors: Matteo Fasiolo, Mark Beaumont (School of Biological Sciences)

Project title: Graph embedding: time and space

Supervisors: Dan Lawson, Patrick Rubin-Delanchy

Project title: Scalable Additive Models for Forecasting Electricity Demand and Renewable Production

Supervisors: Matteo Fasiolo, Nick Whiteley, and EDF

Project title: Approximate Bayesian Inference by Density Ratio Estimation

Supervisors: Song Liu, Mark Beaumont (School of Biological Sciences)

Project title: Machine Learning and Point Processes for Insights into Earthquakes and Volcanoes

Supervisors: Maximillian Werner (School of Earth Sciences), Dan Lawson

Project title: The statistical design of assessments of impacts from explosive volcanic eruptions

Supervisors: Jeremy Phillips (School of Earth Sciences), Anthony Lee

Project title: Developing scalable fitting methods for quantile and loss-based GAMs

Supervisors: Matteo Fasiolo and EDF

Project title: A spatially explicit assessment of agro-pastoral sustainability in Kenya and Ethiopia

Supervisors: Andrew Dowsey, Levi Wolf

Project title: Data reduction and large-scale inference

Supervisors: Nick Whiteley, Robert Allison, and NCSC

Project title: Classification for deep kernel machines

Supervisor: Laurence Aitchison

Project title: Using web data to detect spatial relationships

Supervisors: Emmanouil Tranos, Dan Lawson

Project title: Gradient-free stochastic optimization

Supervisors: Christophe Andrieu, Mathieu Gerber

Project title: Graph simulation

Supervisors: Nick Whitely, Patrick Rubin-Delanchy

Project title: Novel semi-supervised Bayesian learning to rapidly screen new oligonucleotide drugs for impurities

Supervisors: Andrew Dowsey and AstraZeneca

Project title: (Differential) Model Inference with Imperfect Information

Supervisors: Song Liu, Henry Reeve

Project title: Flexible tails for normalising flows

Supervisor: Dennis Prangle