Motivated by a range of applications, we study in this paper the problem...
Eigenvector perturbation analysis plays a vital role in various statisti...
Q-learning, which seeks to learn the optimal Q-function of a Markov deci...
We study the distribution and uncertainty of nonconvex optimization for ...
We study a noisy symmetric tensor completion problem of broad practical
...
This paper is concerned with estimating the column space of an unknown
l...