We consider the problem of learning a directed graph G^⋆ from
observatio...
In this paper we study the high-dimensional super-resolution imaging pro...
We study the problem of maximum likelihood estimation of densities that ...
In this paper we study linear non-Gaussian graphical models from the
per...
The tensor power method generalizes the matrix power method to higher or...
In this paper we propose a new method to learn the underlying acyclic mi...
In this paper we study the problem of recovering a tensor network
decomp...
We study minimax estimation of two-dimensional totally positive
distribu...
Building on the theory of causal discovery from observational data, we s...
We study the estimation of the density of a totally positive random vect...
We study the estimation of the density of a totally positive random vect...
Monge matrices and their permuted versions known as pre-Monge matrices
n...
Directed graphical models specify noisy functional relationships among a...
We study nonparametric density estimation for two classes of multivariat...
In this article we show the duality between tensor networks and undirect...