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stat.ML2026
Structured Nonparametric Variational Inference for Dependent Latent Modeling
Yuda Shao, Zhiling Gu, Shan Yu
Variational inference (VI) is a core engine of modern AI, enabling scalable approximate Bayesian learning and uncertainty-aware training of large probabilistic and generative model…
stat.ML2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation
Yuda Shao, Shan Yu, Tianshu Feng
Automatic Differentiation Variational Inference (ADVI) is efficient in learning probabilistic models. Classic ADVI relies on the parametric approach to approximate the posterior. I…