Is Stochastic Gradient Descent (SGD) substantially different from Glaube...
The use of mini-batches of data in training artificial neural networks i...
Finding a Maximum Clique is a classic property test from graph theory; f...
Optimizing highly complex cost/energy functions over discrete variables ...
Many natural optimization problems are NP-hard, which implies that they ...
Non-linear partial differential Kolmogorov equations are successfully us...
In this paper, we present a prioritized local algorithm that computes a
...
The MaxClique problem, finding the maximum complete subgraph in an E-R
G...
Discrete combinatorial optimization has a central role in many scientifi...