7 citations · 30 across the 14 of their papers we have counts for
3 papers · 1 filter
An Information-Theoretic Approach for Estimating Scenario Generalization in Crowd Motion Prediction
Gang Qiao, Kaidong Hu, Seonghyeon Moon +4
Learning-based approaches to modeling crowd motion have become increasingly successful but require training and evaluation on large datasets, coupled with complex model selection a…
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…
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…