Energetic variational inference derives existing particle-based VI methods from energy-dissipation laws and proposes an approximation-then-variation scheme that preserves particle-level structure while reducing KL divergence.
In: Advances in Neural Information Processing Sys- tems, pp
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Particle-based Energetic Variational Inference
Energetic variational inference derives existing particle-based VI methods from energy-dissipation laws and proposes an approximation-then-variation scheme that preserves particle-level structure while reducing KL divergence.