We study agents competing against each other in a repeated network zero-...
In this paper, we study high-dimensional estimation from truncated sampl...
The expressivity of neural networks as a function of their depth, width ...
In a recent series of papers it has been established that variants of
Gr...
Understanding the representational power of Deep Neural Networks (DNNs) ...
Motivated by a recent result of Daskalakis et al. DGTZ18, we analyze
the...