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stat.ML2026
Importance Weighted Variational Inference without the Reparameterization Trick
Kamélia Daudel, Minh-Ngoc Tran, Cheng Zhang
Importance weighted variational inference (VI) approximates densities known up to a normalizing constant by optimizing bounds that tighten with the number of Monte Carlo samples $N…
stat.ML2024
Learning with Importance Weighted Variational Inference
Kamélia Daudel, François Roueff
Several variational bounds involving importance weighting ideas generalize the Evidence Lower BOund (ELBO) for marginal likelihood optimization, such as the Importance-weighted Aut…