In this paper, we examine the problem of partial inference in the contex...
In this paper, we study the problem of inference in high-order structure...
We study the problem of consistently recovering the sparsity pattern of ...
We propose the framework of dual convexified convolutional neural networ...
In this paper, we study the problem of recovering the community structur...
Performing inference in graphs is a common task within several machine
l...
In this paper, we study the information theoretic bounds for exact recov...
We study the problem of efficient exact partitioning of the hypergraphs
...
In this paper we propose the first correct poly-time algorithm for exact...
We analyze the information-theoretic limits for the recovery of node lab...
The cardinality constraint is an intrinsic way to restrict the solution
...