224 citations · 3.2k across the 170 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016★ 5 cited
Kernel Bayesian Inference with Posterior Regularization
Yang Song, Jun Zhu, Yong Ren
We propose a vector-valued regression problem whose solution is equivalent to the reproducing kernel Hilbert space (RKHS) embedding of the Bayesian posterior distribution. This equ…
stat.ML2016★ 7 cited
Scaling up Dynamic Topic Models
Arnab Bhadury, Jianfei Chen, Jun Zhu +1
Dynamic topic models (DTMs) are very effective in discovering topics and capturing their evolution trends in time series data. To do posterior inference of DTMs, existing methods a…