2024
Minimizing $f$-Divergences by Interpolating Velocity Fields
ICML 2024poster
Many machine learning problems can be seen as approximating a *target* distribution using a *particle* distribution by minimizing their statistical discrepancy. Wasserstein Gradient Flow can move particles along a path that minimizes the $f$-divergence between the target and particle distributions.…