1 citations · 2 across the 5 of their papers we have counts for
5 papers
Machine Learning Augmented Branch and Bound for Mixed Integer Linear Programming
Lara Scavuzzo, Karen Aardal, Andrea Lodi +1
Mixed Integer Linear Programming (MILP) is a pillar of mathematical optimization that offers a powerful modeling language for a wide range of applications. During the past decades,…
Structured Pruning of Neural Networks for Constraints Learning
Matteo Cacciola, Antonio Frangioni, Andrea Lodi
In recent years, the integration of Machine Learning (ML) models with Operation Research (OR) tools has gained popularity across diverse applications, including cancer treatment, a…
Integer Programming Games: A Gentle Computational Overview
Margarida Carvalho, Gabriele Dragotto, Andrea Lodi +1
In this tutorial, we present a computational overview on computing Nash equilibria in Integer Programming Games (s), , how to compute solutions for a class of non-cooper…
Deep Neural Networks pruning via the Structured Perspective Regularization
Matteo Cacciola, Antonio Frangioni, Xinlin Li +1
In Machine Learning, Artificial Neural Networks (ANNs) are a very powerful tool, broadly used in many applications. Often, the selected (deep) architectures include many layers, an…
ZERO: Playing Mathematical Programming Games
Gabriele Dragotto, Sriram Sankaranarayanan, Margarida Carvalho +1
We present ZERO, a modular and extensible C++ library interfacing Mathematical Programming and Game Theory. ZERO provides a comprehensive toolkit of modeling interfaces and algorit…