60 citations · 124 across the 19 of their papers we have counts for
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stat.ML2018
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty
Hao Henry Zhou, Yunyang Xiong, Vikas Singh
We provide simple schemes to build Bayesian Neural Networks (BNNs), block by block, inspired by a recent idea of computation skeletons. We show how by adjusting the types of blocks…
stat.ML2017
Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang +3
Recent results in coupled or temporal graphical models offer schemes for estimating the relationship structure between features when the data come from related (but distinct) longi…