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stat.ML2026
Denoising Implicit Variational Inference
Zitong Wang, Zekun Wu, Longlin Yu +1
Semi-implicit variational inference (SIVI) expands the representational capacity of variational families, but optimizing the Evidence Lower Bound (ELBO) remains challenging because…
stat.ML2026
Control Variate Design for Score-Function Gradient Estimators in Importance-Weighted Variational Inference
Kamélia Daudel, Minh-Ngoc Tran, Cheng Zhang
Importance-weighted variational inference approximates intractable densities by optimizing multi-sample Monte Carlo objectives whose tightness increases with the number of importan…
stat.ML2026
A Kernel Approach for Semi-implicit Variational Inference
Longlin Yu, Ziheng Cheng, Shiyue Zhang +1
Semi-implicit variational inference (SIVI) enhances the expressiveness of variational families through hierarchical semi-implicit distributions, but the intractability of their den…