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4 papers · 2 filters
On the Stability of Deep Networks
Raja Giryes, Guillermo Sapiro, Alex M. Bronstein
In this work we study the properties of deep neural networks (DNN) with random weights. We formally prove that these networks perform a distance-preserving embedding of the data. B…
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation
Fangjian Guo, Charles Blundell, Hanna Wallach +1
We present the Bayesian Echo Chamber, a new Bayesian generative model for social interaction data. By modeling the evolution of people's language usage over time, this model discov…
Median Selection Subset Aggregation for Parallel Inference
Xiangyu Wang, Peichao Peng, David Dunson
For massive data sets, efficient computation commonly relies on distributed algorithms that store and process subsets of the data on different machines, minimizing communication co…
Graph Matching: Relax at Your Own Risk
Vince Lyzinski, Donniell Fishkind, Marcelo Fiori +3
Graph matching---aligning a pair of graphs to minimize their edge disagreements---has received wide-spread attention from both theoretical and applied communities over the past sev…