Many high-dimensional statistical inference problems are believed to pos...
We consider the Sherrington-Kirkpatrick model of spin glasses at
high-te...
Given a graph G of degree k over n vertices, we consider the problem of
...
Given a probability measure μ over ℝ^n, it is often useful to
approximat...
We consider ℤ_2-synchronization on the Euclidean lattice. Every
vertex o...
We consider the spherical perceptron with Gaussian disorder. This is the...
We study high-dimensional regression with missing entries in the covaria...
For the tensor PCA (principal component analysis) problem, we propose a ...
We consider the problem of estimating a vector of discrete variables
(θ_...
We study the fundamental limits of detecting the presence of an additive...
We prove a query complexity lower bound for approximating the top r
dime...
We study the problem of detecting the presence of a single unknown spike...
We consider the problem of estimating the rank-one perturbation of a Wig...
We prove a query complexity lower bound on rank-one principal
component ...
Given a weighted graph with N vertices, consider a real-valued regressio...
One approach to improving the running time of kernel-based machine learn...