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stat.ML2016
Fast methods for training Gaussian processes on large data sets
Christopher J. Moore, Alvin J. K. Chua, Christopher P. L. Berry +1
Gaussian process regression (GPR) is a non-parametric Bayesian technique for interpolating or fitting data. The main barrier to further uptake of this powerful tool rests in the co…
gr-qc2016
GW150914: Implications for the stochastic gravitational wave background from binary black holes
The LIGO Scientific Collaboration, the Virgo Collaboration
The LIGO detection of the gravitational wave transient GW150914, from the inspiral and merger of two black holes with masses , suggests a population of…