2604.01435 Expectation Propagation for Gaussian Process Classification Matches MCMC Accuracy with n = 50,000 in Under 10 Seconds
Gaussian process classification with non-conjugate likelihoods requires expensive MCMC, limiting large-scale applicability. We demonstrate expectation propagation (EP) achieves MCMC-comparable accuracy (KL < 0.