49 citations · 173 across the 21 of their papers we have counts for
8 papers · 1 filter
Implicit Priors for Knowledge Sharing in Bayesian Neural Networks
Jack K Fitzsimons, Sebastian M Schmon, Stephen J Roberts
Bayesian interpretations of neural network have a long history, dating back to early work in the 1990's and have recently regained attention because of their desirable properties l…
Using Sparse Gaussian Processes for Predicting Robust Inertial Confinement Fusion Implosion Yields
Peter Hatfield, Steven Rose, Robbie Scott +3
Here we present the application of an advanced Sparse Gaussian Process based machine learning algorithm to the challenge of predicting the yields of inertial confinement fusion (IC…
Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo
Adam D. Cobb, Atılım Güneş Baydin, Andrew Markham +1
We introduce a recent symplectic integration scheme derived for solving physically motivated systems with non-separable Hamiltonians. We show its relevance to Riemannian manifold H…
Adaptive Configuration Oracle for Online Portfolio Selection Methods
Favour M. Nyikosa, Michael A. Osborne, Stephen J. Roberts
Financial markets are complex environments that produce enormous amounts of noisy and non-stationary data. One fundamental problem is online portfolio selection, the goal of which…
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
Binxin Ru, Ahsan S. Alvi, Vu Nguyen +2
Efficient optimisation of black-box problems that comprise both continuous and categorical inputs is important, yet poses significant challenges. We propose a new approach, Continu…
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources
Edwin Simpson, Steven Reece, Stephen J. Roberts
Unstructured data from diverse sources, such as social media and aerial imagery, can provide valuable up-to-date information for intelligent situation assessment. Mining these diff…