Infinite-horizon Gaussian processes reduce computational complexity for long datasets.
problem Cubic computational cost in state dimensionality for Gaussian processes.
method Single-sweep EP inference scheme for GPs with general likelihoods, reducing cost to O(m^2) per data point.
result Reduced computational complexity from cubic to quadratic in state dimensionality.