101 citations · 214 across the 17 of their papers we have counts for
3 papers · 1 filter
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…