7 citations · 30 across the 14 of their papers we have counts for
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cs.LG2015★ 6 cited
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
Bayesian models provide a framework for probabilistic modelling of complex datasets. However, many of such models are computationally demanding especially in the presence of large…
cs.LG2015★ 7 cited
Fast ADMM Algorithm for Distributed Optimization with Adaptive Penalty
Changkyu Song, Sejong Yoon, Vladimir Pavlovic
We propose new methods to speed up convergence of the Alternating Direction Method of Multipliers (ADMM), a common optimization tool in the context of large scale and distributed l…