Capsule neural networks replace simple, scalar-valued neurons with
vecto...
The Hessian of a differentiable convex function is positive semidefinite...
Recent works showed that implementations of Quicksort using vector CPU
i...
Constrained optimization problems arise frequently in classical machine
...
Computing derivatives of tensor expressions, also known as tensor calcul...
Although optimization is the longstanding algorithmic backbone of machin...
Ising models describe the joint probability distribution of a vector of
...
We address the problem of solving convex optimization problems with many...
For a wide variety of regularization methods, algorithms computing the e...