Wealso provide provable error bounds fordifferent norms forreconstructing noisy observations. Our empirical validation demonstrates that we obtain better reconstructions when the latent dimensionislarge.

Weshowthat GDC isclosely related to spectral-based models and thus combines the strengths ofboth spatial (message passing) and spectral methods.

The aim is to design truthful mechanisms, ensuring agents cannot gain by misreporting.