This paper studies the role of over-parametrization in solving non-conve...
Many fundamental low-rank optimization problems, such as matrix completi...
This paper is concerned with low-rank matrix optimization, which has fou...
In this paper, we study a general low-rank matrix recovery problem with
...
In this paper, we study certifying the robustness of ReLU neural network...
There have been major advances on the design of neural networks, but sti...
In this paper, we consider the problem of certifying the robustness of n...
We present a certifiably globally optimal algorithm for determining the
...