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Structured Stein Variational Inference for Continuous Graphical Models

Published in Arxiv, 2017

We propose a novel distributed inference algorithm for continuous graphical models by extending Stein variational gradient descent (SVGD) to leverage the Markov dependency structure of the distribution of interest.

D. Wang∗, Z. Zeng∗, and Q. Liu. Structured Stein Variational Inference for Continuous Graphical Models. ArXiv e-prints, November 2017. (∗Equal contribution, will submit to ICML 18) https://arxiv.org/abs/1711.07168

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teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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