Simulation-Free Learning of GP-SDEs from Irregular Observations
This work analytically marginalize the sparse GP posterior to derive a tractable drift-matching objective that accounts for both the posterior mean and uncertainty of the unknown drift, and introduces an irregular-time-aware variational state posterior that incorporates the actual observation times during both encoding...