We study the node classification problem on feature-decorated graphs in ...
We prove concentration inequalities for the output of the exponential
me...
We study the scaling limits of stochastic gradient descent (SGD) with
co...
Graph Convolutional Networks (GCNs) are one of the most popular architec...
We consider the problem of finding a near ground state of a p-spin model...
Recently there has been increased interest in semi-supervised classifica...
We consider the problem of finding nearly optimal solutions of optimizat...
Stochastic gradient descent (SGD) is a popular algorithm for optimizatio...
We study support recovery for a k × k principal submatrix with
elevated ...
We study the statistical limits of testing and estimation for a rank one...
We study the algorithmic thresholds for principal component analysis of
...