Variational Inference with Tail-adaptive f-Divergence

Dilin Wang, Hao Liu, Qiang Liu

Neural Information Processing Systems 

V ariational inference (VI) (e.g., Jordan et al., 1999; Wainwright et al., 2008) has been established Combined with techniques like stochastic optimization (Ranganath et al., A key component of successful variational inference lies on choosing a proper divergence metric. Work done at UT Austin 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, Canada.

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