1 citations · 1 across the 4 of their papers we have counts for
4 papers
Modelling Non-Smooth Signals with Complex Spectral Structure
Wessel P. Bruinsma, Martin Tegnér, Richard E. Turner
The Gaussian Process Convolution Model (GPCM; Tobar et al., 2015a) is a model for signals with complex spectral structure. A significant limitation of the GPCM is that it assumes a…
Data Optimisation for a Deep Learning Recommender System
Gustav Hertz, Sandhya Sachidanandan, Balázs Tóth +2
This paper advocates privacy preserving requirements on collection of user data for recommender systems. The purpose of our study is twofold. First, we ask if restrictions on data…
Bounding quantiles of Wasserstein distance between true and empirical measure
Samuel N. Cohen, Martin N. A. Tegnér, Johannes Wiesel
Consider the empirical measure, , associated to i.i.d. samples of a given probability distribution on the unit interval. For fixed …
A Machine Learning approach to Risk Minimisation in Electricity Markets with Coregionalized Sparse Gaussian Processes
Daniel Poh, Stephen Roberts, Martin Tegnér
The non-storability of electricity makes it unique among commodity assets, and it is an important driver of its price behaviour in secondary financial markets. The instantaneous an…