2.2k citations · 4k across the 42 of their papers we have counts for
7 papers · 1 filter
Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation
Samir Bhatt, Ewan Cameron, Seth R Flaxman +3
Maps of infectious disease---charting spatial variations in the force of infection, degree of endemicity, and the burden on human health---provide an essential evidence base to sup…
Is Gun Violence Contagious?
Charles Loeffler, Seth Flaxman
Existing theories of gun violence predict stable spatial concentrations and contagious diffusion of gun violence into surrounding areas. Recent empirical studies have reported conf…
Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata
Seth Flaxman, Danica J. Sutherland, Yu-Xiang Wang +1
We combine fine-grained spatially referenced census data with the vote outcomes from the 2016 US presidential election. Using this dataset, we perform ecological inference using di…
Poisson intensity estimation with reproducing kernels
Seth Flaxman, Yee Whye Teh, Dino Sejdinovic
Despite the fundamental nature of the inhomogeneous Poisson process in the theory and application of stochastic processes, and its attractive generalizations (e.g. Cox process), fe…
European Union regulations on algorithmic decision-making and a "right to explanation"
Bryce Goodman, Seth Flaxman
We summarize the potential impact that the European Union's new General Data Protection Regulation will have on the routine use of machine learning algorithms. Slated to take effec…
Collaborative Filtering with Side Information: a Gaussian Process Perspective
Hyunjik Kim, Xiaoyu Lu, Seth Flaxman +1
We tackle the problem of collaborative filtering (CF) with side information, through the lens of Gaussian Process (GP) regression. Driven by the idea of using the kernel to explici…