We propose an approach to directly estimate the moments or marginals for...
Is it possible for a first-order method, i.e., only first derivatives
al...
It is well-known that any matrix A has an LU decomposition. Less well-kn...
We show that the global minimum solution of ‖ A - BXC ‖ can be
found in ...
We explain equivariant neural networks, a notion underlying breakthrough...
The notion of a tensor captures three great ideas: equivariance,
multili...
Comparing probability distributions is an indispensable and ubiquitous t...
Stochastic optimization algorithms have become indispensable in modern
m...
We study how the topology of a data set M = M_a ∪ M_b ⊆R^d, representing...
We establish an analogue of the Grothendieck inequality where the rectan...
We investigate the geometry of the empirical risk minimization problem f...
We introduce in this paper a manifold optimization framework that utiliz...
We establish, for the first time, connections between feedforward neural...
We show that two important quantities from two disparate areas of comple...
Peer-to-peer (P2P) lending is a fast growing financial technology (FinTe...
The goal of cryo-electron microscopy (EM) is to reconstruct the 3-dimens...
We propose a number of techniques for obtaining a global ranking from da...