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cs.LG2019★ 2 cited
Pseudo-Encoded Stochastic Variational Inference
Amir Zadeh, Smon Hessner, Yao-Chong Lim +1
Posterior inference in directed graphical models is commonly done using a probabilistic encoder (a.k.a inference model) conditioned on the input. Often this inference model is trai…
cs.LG2019
Variational Auto-Decoder: A Method for Neural Generative Modeling from Incomplete Data
Amir Zadeh, Yao-Chong Lim, Paul Pu Liang +1
Learning a generative model from partial data (data with missingness) is a challenging area of machine learning research. We study a specific implementation of the Auto-Encoding Va…