The Anantharam-Jog-Nair inequality [AJN22] in Information Theory provide...
Tensors in the form of multilinear arrays are ubiquitous in data science...
Since the seminal works of Strassen and Valiant it has been a central th...
A model's interpretability is essential to many practical applications s...
In this paper, we study sample size thresholds for maximum likelihood
es...
It is often necessary to identify a pattern of observed craters in a sin...
In this paper, we study the log-likelihood function and Maximum Likeliho...
We develop algebraic methods for computations with tensor data. We give ...
Using the Grosshans Principle, we develop a method for proving lower bou...
We consider two group actions on m-tuples of n × n matrices. The
first i...
We study the Pareto frontier for two competing norms ·_X and
·_Y on a ve...