101 citations · 214 across the 17 of their papers we have counts for
19 papers
Multi-Fidelity Gaussian Processes for Translational Modelling of Clinical Outcomes
Isaac S. Hayden, Alicia D'Souza, Steven Niederer +1
Bridging the gap between animal and human experiments remains a major challenge in translational medicine, particularly in early drug development. Progress is constrained by financ…
Automated calibration of consensus weighted distance-based clustering approaches using sharp
Barbara Bodinier, Dragana Vuckovic, Sabrina Rodrigues +3
In consensus clustering, a clustering algorithm is used in combination with a subsampling procedure to detect stable clusters. Previous studies on both simulated and real data sugg…
Delayed Feedback in Generalised Linear Bandits Revisited
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
The stochastic generalised linear bandit is a well-understood model for sequential decision-making problems, with many algorithms achieving near-optimal regret guarantees under imm…
Variational Bayes for high-dimensional proportional hazards models with applications within gene expression
Michael Komodromos, Eric Aboagye, Marina Evangelou +2
Few Bayesian methods for analyzing high-dimensional sparse survival data provide scalable variable selection, effect estimation and uncertainty quantification. Such methods often e…
Optimism and Delays in Episodic Reinforcement Learning
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
There are many algorithms for regret minimisation in episodic reinforcement learning. This problem is well-understood from a theoretical perspective, providing that the sequences o…
Automated calibration for stability selection in penalised regression and graphical models
Barbara Bodinier, Sarah Filippi, Therese Haugdahl Nost +2
Stability selection represents an attractive approach to identify sparse sets of features jointly associated with an outcome in high-dimensional contexts. We introduce an automated…